Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Mar 13, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Mar 13, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Mar 13, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Mar 13, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Solutions Architect / Technical Architect SC Clearance (Apply online only) per day, Outside IR35 Initially 2 months (Very likely long term extensions) Fully Remote Unify are proud to exclusively represent a respected UK Consultancy, who are looking to secure the services of an experienced Senior Solutions Architect / Technical Architect, on an Outside IR35 basis, to support a high-profile program in the Government sector. We need: Experience helping to shape and influence product direction based on technical considerations or limitations. Experience managing security considerations with the need to quickly develop the product in order to gain feedback to shape future iterations of the product. Experience working with sensitive, personal information and the requirements for keeping this secure. Experience working within a managed, cloud based architecture (AWS platforms) and managing relationships with key stakeholders from these teams Government/Client Governance: Experience working within technical governance frameworks, balancing compliance with fast-paced delivery. Team Support: Ability to advise multiple teams, including established and newly formed teams, on technical decisions outside their immediate control. Communication & Stakeholder Management: Ability to explain complex technical concepts to non-technical stakeholders, negotiate trade-offs, and enable informed decision-making. Active Security Clearance Start ASAP! Initial engagement will run until the 11th of May however this Contract will highly likely extend longer term. Please apply by submitting your latest CV for immediate review by our Talent team. Thanks
Mar 12, 2026
Contractor
Senior Solutions Architect / Technical Architect SC Clearance (Apply online only) per day, Outside IR35 Initially 2 months (Very likely long term extensions) Fully Remote Unify are proud to exclusively represent a respected UK Consultancy, who are looking to secure the services of an experienced Senior Solutions Architect / Technical Architect, on an Outside IR35 basis, to support a high-profile program in the Government sector. We need: Experience helping to shape and influence product direction based on technical considerations or limitations. Experience managing security considerations with the need to quickly develop the product in order to gain feedback to shape future iterations of the product. Experience working with sensitive, personal information and the requirements for keeping this secure. Experience working within a managed, cloud based architecture (AWS platforms) and managing relationships with key stakeholders from these teams Government/Client Governance: Experience working within technical governance frameworks, balancing compliance with fast-paced delivery. Team Support: Ability to advise multiple teams, including established and newly formed teams, on technical decisions outside their immediate control. Communication & Stakeholder Management: Ability to explain complex technical concepts to non-technical stakeholders, negotiate trade-offs, and enable informed decision-making. Active Security Clearance Start ASAP! Initial engagement will run until the 11th of May however this Contract will highly likely extend longer term. Please apply by submitting your latest CV for immediate review by our Talent team. Thanks
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Mar 12, 2026
Full time
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 12, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 4Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within AI Centre of Excellence department under Chief Operating Office (COO).The key accountabilities for the role are as follows: AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness. Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions. Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.# About You Qualifications Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Proven track record of delivering AI solutions from research to production in real-world applications. Knowledge Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability. Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems. Domain expertise in financial services or other regulated industries is highly desirable. Experience Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection. Provide mentorship and technical guidance to junior AI Scientists Skills Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry). Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex. Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis. Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation. Exceptional problem-solving skills and a strong passion for innovation. Excellent communication and collaboration abilities, thriving in cross-functional environments. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter financial futures for every generation.We do this by guiding our customers and their families through the complexity of planning for their financial future, responding to their rapidly evolving needs and giving them peace of mind. And, with all that's happening in the world today, our
Mar 12, 2026
Full time
# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 4Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within AI Centre of Excellence department under Chief Operating Office (COO).The key accountabilities for the role are as follows: AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness. Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions. Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.# About You Qualifications Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Proven track record of delivering AI solutions from research to production in real-world applications. Knowledge Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability. Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems. Domain expertise in financial services or other regulated industries is highly desirable. Experience Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection. Provide mentorship and technical guidance to junior AI Scientists Skills Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry). Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex. Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis. Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation. Exceptional problem-solving skills and a strong passion for innovation. Excellent communication and collaboration abilities, thriving in cross-functional environments. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter financial futures for every generation.We do this by guiding our customers and their families through the complexity of planning for their financial future, responding to their rapidly evolving needs and giving them peace of mind. And, with all that's happening in the world today, our
Technically, you should be strong AWS experts with experience across software architecture and network infrastructure . The environment involves technologies supporting process orchestration, data platforms, calculation engines, and data distribution platforms , within a large-scale nationwide infrastructure where cyber compliance is a key consideration . We are looking for hands-on architects who can actively contribute to solution design in collaboration with engineering leadership, including senior stakeholders at the CIO/CTO leadership level. These architect will also play a role in navigating governance frameworks and internal approval structures, helping secure the required permits to build and permits to operate for the proposed solutions. AWS Cloud Infrastructure & APIs Design and implement scalable, secure AWS architectures for market data and pricing platforms Architect and govern API layers (REST / event-driven) for internal and external consumers Ensure high availability, performance and resilience across critical financial systems Solutioning & DevOps Lead solution design across multiple delivery teams Define and embed DevOps and Infrastructure-as-Code practices (Terraform, CloudFormation, CDK) Support CI/CD pipelines and automated deployment strategies Partner with engineering teams to ensure solutions are buildable and operable Required Skills & Experience Core Technical Strong AWS architecture experience (VPC, IAM, EC2, S3, RDS, DynamoDB, Lambda, EKS, Glue, Kinesis or equivalents) API and integration design experience Strong background in DevOps and automation Solid understanding of data migration and data platform design Experience designing scalable data processing pipelines Strong data modelling fundamentals
Mar 12, 2026
Full time
Technically, you should be strong AWS experts with experience across software architecture and network infrastructure . The environment involves technologies supporting process orchestration, data platforms, calculation engines, and data distribution platforms , within a large-scale nationwide infrastructure where cyber compliance is a key consideration . We are looking for hands-on architects who can actively contribute to solution design in collaboration with engineering leadership, including senior stakeholders at the CIO/CTO leadership level. These architect will also play a role in navigating governance frameworks and internal approval structures, helping secure the required permits to build and permits to operate for the proposed solutions. AWS Cloud Infrastructure & APIs Design and implement scalable, secure AWS architectures for market data and pricing platforms Architect and govern API layers (REST / event-driven) for internal and external consumers Ensure high availability, performance and resilience across critical financial systems Solutioning & DevOps Lead solution design across multiple delivery teams Define and embed DevOps and Infrastructure-as-Code practices (Terraform, CloudFormation, CDK) Support CI/CD pipelines and automated deployment strategies Partner with engineering teams to ensure solutions are buildable and operable Required Skills & Experience Core Technical Strong AWS architecture experience (VPC, IAM, EC2, S3, RDS, DynamoDB, Lambda, EKS, Glue, Kinesis or equivalents) API and integration design experience Strong background in DevOps and automation Solid understanding of data migration and data platform design Experience designing scalable data processing pipelines Strong data modelling fundamentals
Director, Cross Industry Solutions Architecture, Solutions Architect, AGS Job ID: Amazon Web Services Japan GK Amazon Web Services (AWS) is looking for an experienced and motivated technologist Leader who possess a unique balance of technical depth, thought leadership, and strong people management skills. You will partner with customers, AWS Sales and other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customers' business problems and accelerate the adoption of AWS services. In collaboration with sales, you will drive revenue growth across a broad set of customers. As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS. The ideal candidate must be self-motivated with a proven track record in leading in technology consulting and sales organization. The ability to connect technology with measurable business value is critical. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. Qualities We Are Looking For In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact. Enjoy working with customers for Enterprise customers across industry segments. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of customers. Have a strong understanding of large-scale technology solutions. The ideal candidate will have past experience working as a technology executive. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world class solutions built on AWS. Key Job Responsibilities Operating as the Customer Advisor in the sales cycle (executive sponsor for strategic programs, projects, and customers for the organization. Driving Organizational wide Leadership (providing technical excellence across the organization, collaboration with the product and services teams, creating customer feedback mechanisms, modelling and scaling Amazon Culture, attracting and recruiting senior talent, leading strategic initiatives). People Management (identifying and growing future leaders, championing a culture of inclusion, diversity, and equity, coaching/mentoring leaders within and outside your organization). Operational Management (defining and executing on goals and metrics, optimizing cross functional mechanisms, managing the rhythm of the business through Monthly Metrics, Weekly Business Reviews, and Annual Business/Operational Planning). This role is the single threaded owner of the Cross Industry SA team in Japan with multi layered organization and is aligned to a Head of Solutions Architecture Japan, responsible for Enterprise customer segments consisting of multiple industry vertical teams. It engages with customers throughout their AWS journey, takes into account technical and business trends across diverse industries to create and evolve technical strategies, shapes and grows a large SA organization, and influences strongly opinionated stakeholders inside AWS as well as at the customers. The scope and complexity of the role keep increasing and the pace of growth requires leading the team through this evolution, developing new leaders, and hiring top talent from the market. This role is tasked with consistently developing and maintaining strategic relationships with key customer stakeholders like CEO, CDO, CTO, CIO by leveraging global strategic programs and internal stakeholders at VP level to move customer's transformation forward. Other notable responsibilities and capabilities required for this role include change management and expertise transfer to ensure high standards for customer experience. The strategic actions led by this role encompass not only the SA function but also collaborates closely with all sales teams to create and execute business plans to accelerate the adoption of AWS, exceed revenue goals, and drive customer satisfaction. Basic Qualifications 20 years of IT experience in Internet related technologies 10 years of people management experience as a manager of managers Experience in leading large architect/engineer teams (100+ members) Relationships with Enterprise executives Direct industry experience in leading teams in infrastructure and software technologies Experience developing leading edge and large scale application architectures to meet business requirements in complex environments Large scale systems integration involving on premises technology and public cloud platforms Sizing and scoping of core application platforms Public speaking experience to large audiences (1,000+ attendee's) Presentation skills with a high degree of comfort with audiences of all sizes Native Japanese language skills and Business English language skills High level of comfort communicating effectively across internal and external organizations Preferred Qualifications Hands on experience with AWS services Master's degree; Computer Science, Management Information Systems, or MBA desired Known industry thought leader Management experience in global organizations Ability to build and deliver complex keynote presentations Proven ability to adapt to new technologies and quickly establish credibility across a large number of technologies and industries Experienced technology challenger in complex scenario's both internally and externally Certified professional level in all AWS certifications Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Mar 11, 2026
Full time
Director, Cross Industry Solutions Architecture, Solutions Architect, AGS Job ID: Amazon Web Services Japan GK Amazon Web Services (AWS) is looking for an experienced and motivated technologist Leader who possess a unique balance of technical depth, thought leadership, and strong people management skills. You will partner with customers, AWS Sales and other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customers' business problems and accelerate the adoption of AWS services. In collaboration with sales, you will drive revenue growth across a broad set of customers. As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS. The ideal candidate must be self-motivated with a proven track record in leading in technology consulting and sales organization. The ability to connect technology with measurable business value is critical. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. Qualities We Are Looking For In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact. Enjoy working with customers for Enterprise customers across industry segments. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of customers. Have a strong understanding of large-scale technology solutions. The ideal candidate will have past experience working as a technology executive. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world class solutions built on AWS. Key Job Responsibilities Operating as the Customer Advisor in the sales cycle (executive sponsor for strategic programs, projects, and customers for the organization. Driving Organizational wide Leadership (providing technical excellence across the organization, collaboration with the product and services teams, creating customer feedback mechanisms, modelling and scaling Amazon Culture, attracting and recruiting senior talent, leading strategic initiatives). People Management (identifying and growing future leaders, championing a culture of inclusion, diversity, and equity, coaching/mentoring leaders within and outside your organization). Operational Management (defining and executing on goals and metrics, optimizing cross functional mechanisms, managing the rhythm of the business through Monthly Metrics, Weekly Business Reviews, and Annual Business/Operational Planning). This role is the single threaded owner of the Cross Industry SA team in Japan with multi layered organization and is aligned to a Head of Solutions Architecture Japan, responsible for Enterprise customer segments consisting of multiple industry vertical teams. It engages with customers throughout their AWS journey, takes into account technical and business trends across diverse industries to create and evolve technical strategies, shapes and grows a large SA organization, and influences strongly opinionated stakeholders inside AWS as well as at the customers. The scope and complexity of the role keep increasing and the pace of growth requires leading the team through this evolution, developing new leaders, and hiring top talent from the market. This role is tasked with consistently developing and maintaining strategic relationships with key customer stakeholders like CEO, CDO, CTO, CIO by leveraging global strategic programs and internal stakeholders at VP level to move customer's transformation forward. Other notable responsibilities and capabilities required for this role include change management and expertise transfer to ensure high standards for customer experience. The strategic actions led by this role encompass not only the SA function but also collaborates closely with all sales teams to create and execute business plans to accelerate the adoption of AWS, exceed revenue goals, and drive customer satisfaction. Basic Qualifications 20 years of IT experience in Internet related technologies 10 years of people management experience as a manager of managers Experience in leading large architect/engineer teams (100+ members) Relationships with Enterprise executives Direct industry experience in leading teams in infrastructure and software technologies Experience developing leading edge and large scale application architectures to meet business requirements in complex environments Large scale systems integration involving on premises technology and public cloud platforms Sizing and scoping of core application platforms Public speaking experience to large audiences (1,000+ attendee's) Presentation skills with a high degree of comfort with audiences of all sizes Native Japanese language skills and Business English language skills High level of comfort communicating effectively across internal and external organizations Preferred Qualifications Hands on experience with AWS services Master's degree; Computer Science, Management Information Systems, or MBA desired Known industry thought leader Management experience in global organizations Ability to build and deliver complex keynote presentations Proven ability to adapt to new technologies and quickly establish credibility across a large number of technologies and industries Experienced technology challenger in complex scenario's both internally and externally Certified professional level in all AWS certifications Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Principal Solutions Architect Purpose of the Role The Principal Solutions Architect is M2A Media's senior-most authority on client solutions architecture. This role defines the technical vision for scalable, reliable, and secure cloud-based customer workflows built using M2A's products and AWS Media Services. The Principal Solutions Architect sets design standards, mentors senior architects and engineers, and ensures all client solutions embody M2A's core principles of being Simple, Scalable, and Secure, while aligning with the company's delivery methodologies and product interfaces. Responsibilities Act as the authority on all client solutions architecture, ensuring every design upholds M2A's commitment to Simple, Scalable, and Secure workflows. Lead innovation across new and existing client solutions, evaluating cloud and media technologies that strengthen reliability, automation, and security. Maintain a deep understanding of M2A product capabilities and integration boundaries, ensuring solution designs make effective and appropriate use of M2A's platform. Own and continually refine client architectures to improve simplicity, scalability, and security, optimising for operational effectiveness and cost. Exercise expert judgement in defining where custom solution components are needed versus where to leverage existing product features. Provide structured feedback to Product Management where solution-level insight indicates potential roadmap enhancements. Review and approve all solution designs, ensuring compliance with M2A's standards for architecture, resilience, and information security. Serve as the subject matter expert on current and future client solution states, including transition plans and technical risk assessments. Be fastidious about implementation detail, including data flow security, IAM design, encryption, and network isolation. Mentor Senior Solutions Architects and Solutions Engineers, reinforcing best practice for secure, scalable, and maintainable client solutions. Represent M2A's solutions architecture capability in client workshops, technical presentations, and partner engagements. Key Working Relationships Reports to: VP of Customer Success (line manager) VP of Operations - to ensure solutions are operationally scalable, observable, and support-ready. VP of Architecture - to align on design standards, documentation templates, and security governance. VP of Product / Product Engineering Lead - to ensure solutions integrate correctly with the product platform and APIs. Provides detailed architecture designs and governance direction to the Solutions Engineering team. Collaborates with Production Operations to ensure deployments are efficient, resilient, and secure. Supports Operations with incident investigation and root cause analysis, particularly where design or integration issues are identified. Engages with AWS and key technology partners to maintain alignment with current best practices for cloud-based media delivery. Skills & Requirements Extensive experience designing and governing secure, scalable AWS-based client solutions, ideally in broadcast or live media workflows. Proven ability to simplify complex workflows into clear, maintainable architectures that integrate cleanly with existing products. Strong expertise in AWS Media Services (MediaConnect, MediaLive, MediaPackage, MediaStore) and related content delivery networks and control planes. Demonstrated leadership in embedding security controls (IAM, encryption, VPC design, monitoring) into solution design. Expert in documenting and communicating solution architectures, from high-level diagrams to detailed configuration. Deep understanding of agile SDLC practices and how solution architecture supports iterative delivery. Excellent communication and stakeholder management skills, able to collaborate across operations, engineering, and client stakeholders. Experience mentoring and developing other architects and engineers, promoting M2A's architectural principles and standards. AWS Certified Solutions Architect / AWS Media & Entertainment Speciality. Commercial awareness and ability to balance cost, performance, and security in solution design. Benefits 25 days annual leave Medical & dental insurance Travel insurance Life cover Company Pension Company Bike scheme
Mar 11, 2026
Full time
Principal Solutions Architect Purpose of the Role The Principal Solutions Architect is M2A Media's senior-most authority on client solutions architecture. This role defines the technical vision for scalable, reliable, and secure cloud-based customer workflows built using M2A's products and AWS Media Services. The Principal Solutions Architect sets design standards, mentors senior architects and engineers, and ensures all client solutions embody M2A's core principles of being Simple, Scalable, and Secure, while aligning with the company's delivery methodologies and product interfaces. Responsibilities Act as the authority on all client solutions architecture, ensuring every design upholds M2A's commitment to Simple, Scalable, and Secure workflows. Lead innovation across new and existing client solutions, evaluating cloud and media technologies that strengthen reliability, automation, and security. Maintain a deep understanding of M2A product capabilities and integration boundaries, ensuring solution designs make effective and appropriate use of M2A's platform. Own and continually refine client architectures to improve simplicity, scalability, and security, optimising for operational effectiveness and cost. Exercise expert judgement in defining where custom solution components are needed versus where to leverage existing product features. Provide structured feedback to Product Management where solution-level insight indicates potential roadmap enhancements. Review and approve all solution designs, ensuring compliance with M2A's standards for architecture, resilience, and information security. Serve as the subject matter expert on current and future client solution states, including transition plans and technical risk assessments. Be fastidious about implementation detail, including data flow security, IAM design, encryption, and network isolation. Mentor Senior Solutions Architects and Solutions Engineers, reinforcing best practice for secure, scalable, and maintainable client solutions. Represent M2A's solutions architecture capability in client workshops, technical presentations, and partner engagements. Key Working Relationships Reports to: VP of Customer Success (line manager) VP of Operations - to ensure solutions are operationally scalable, observable, and support-ready. VP of Architecture - to align on design standards, documentation templates, and security governance. VP of Product / Product Engineering Lead - to ensure solutions integrate correctly with the product platform and APIs. Provides detailed architecture designs and governance direction to the Solutions Engineering team. Collaborates with Production Operations to ensure deployments are efficient, resilient, and secure. Supports Operations with incident investigation and root cause analysis, particularly where design or integration issues are identified. Engages with AWS and key technology partners to maintain alignment with current best practices for cloud-based media delivery. Skills & Requirements Extensive experience designing and governing secure, scalable AWS-based client solutions, ideally in broadcast or live media workflows. Proven ability to simplify complex workflows into clear, maintainable architectures that integrate cleanly with existing products. Strong expertise in AWS Media Services (MediaConnect, MediaLive, MediaPackage, MediaStore) and related content delivery networks and control planes. Demonstrated leadership in embedding security controls (IAM, encryption, VPC design, monitoring) into solution design. Expert in documenting and communicating solution architectures, from high-level diagrams to detailed configuration. Deep understanding of agile SDLC practices and how solution architecture supports iterative delivery. Excellent communication and stakeholder management skills, able to collaborate across operations, engineering, and client stakeholders. Experience mentoring and developing other architects and engineers, promoting M2A's architectural principles and standards. AWS Certified Solutions Architect / AWS Media & Entertainment Speciality. Commercial awareness and ability to balance cost, performance, and security in solution design. Benefits 25 days annual leave Medical & dental insurance Travel insurance Life cover Company Pension Company Bike scheme
Overview Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of circa 4,000,000 employees through our relationships with over 500 of the largest employers in the UK. By improving employee financial wellbeing, we have a very real and meaningful impact on people's lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure. We are backed by some of the biggest brands, including investments from Blenheim Chalcot (the UK's leading venture builder), Legal and General (the FTSE 100 insurer and asset manager), Experian and Goldman Sachs, and funding partnerships with JP Morgan and Blue Owl. Launched in 2015, we have made excellent progress, and are scaling fast. We have been named BITC's Responsible Business of Year, included in KPMG's Global Fintech 100, listed top of the Forbes' list of socially-responsible startups, and profiled by the Financial Times, the Times, the Wall Street Journal, the Guardian, the Telegraph, CityAM and the Institute of Directors. Your role in our mission We are looking for an exceptional Data Science Manager to lead our Data Science and Decision Systems teams. Reporting to the Chief Product Officer, you will be responsible for shaping strategy and mentoring the team, while remaining hands-on with project delivery. In 2026, you and the team will focus on optimising our core lending product. You will work closely with the Credit Risk and Collections teams to deliver new scorecards, build collections models, and refactor our decision engine - initiatives that contribute directly to improving our unit economics and scalability. From 2027, the focus will shift to expansion and innovation. As the team grows to support other parts of the business, your role will evolve into a more managerial position focused on setting strategy and supporting team members. Your stakeholder set will also broaden to include Product, Engineering, and Enterprise Data teams as you tackle topics such as marketing attribution, predictive models for our wider product set, and defining new measures for customer financial wellbeing. What you'll do Lead the delivery of our Data Science roadmap, including the development of new credit risk scorecards, collections models, and the refactoring of our Decision Engine. Initially dedicate 50% of your time to hands-on delivery (modelling and analysis), with this proportion decreasing as the team and scope expand in 2027. Own the architecture and deployment processes for the Decision Engine, ensuring high availability, minimising operational risk, and managing technical debt. Introduce and enforce best practices in modelling, engineering, and governance to ensure technical excellence across the Data Science team. Provide expert mentorship to the team, fostering individual growth and helping them navigate complex technical challenges. Promote a data-driven approach to problems across the business, championing the Data Science team through excellent communication. Collaborate with Credit Risk, Collections, and Product stakeholders to translate business objectives into technical requirements. Shape the future strategy for the Data Science function, preparing the team to pivot toward marketing attribution and financial wellbeing innovation in the long term. About you Experience: You have 5+ years of experience in Data Science or similar analytical roles, with a proven track record of delivering value, preferably in financial services and / or credit risk Leadership: You have experience managing teams and you are capable of mentoring juniors and representing Data Science to senior stakeholders. Production-grade Python: You write clean, modular code and are comfortable building production-grade systems in python. Data & SQL proficiency: You are highly skilled in SQL, capable of extracting and processing data to derive actionable insights. Engineering best practices: You are experienced with version control (Git), Docker and CI/CD pipelines. Communication & influence: You can explain complex technical concepts to non-technical stakeholders (like Product and Commercial teams) and advocate for the best data solutions. Nice to have R language skills: Our existing decision engine is written in R. As such, the ability to read and interpret R code will be valuable as you lead the refactoring effort into Python. Scale-up experience: You have succeeded in fast-paced scale-up environments. Model governance: You have had experience with setting up or managing formal model governance frameworks (e.g. model monitoring, documentation standards). Deep Learning and AI: You are well-versed in LLMs and GenAI, and know how to best apply their use to drive business value. Who you are We embrace our differences, but there's one thing we like to share, which is our values, so it's important to us that you are: Fearless, and able to make the impossible possible. Responsible, and want to help build a business that delivers a meaningful difference to society. Dedicated and want to commit to an exciting journey even through the highs and lows. Empathetic and truly care about every colleague and customer. United, because you understand we achieve more when we work as a team. Humble, and take feedback as a way to continuously improve. What do you get for all your hard work? 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships Enhanced policies that are family and pet friendly, to include company sick pay and peternity leave Great career development in a fast paced environment Regular company socials (post covid, although we've got quite good at virtual ones too!) Volunteer days as part of our CSR program More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more! The typical interview process Introductory call with our Talent Manager (phone call - 20 mins) Past experience interview with Hiring Manager (video call - 30 mins) Technical and culture interview with Team and Stakeholder(s) (in person - 2 hours) We're looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people's lives for the better then we'd love to hear from you. Learn more at Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish. If there's anything we can do to accommodate your specific situation, please let us know. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Salary Finance's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service . click apply for full job details
Mar 11, 2026
Full time
Overview Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of circa 4,000,000 employees through our relationships with over 500 of the largest employers in the UK. By improving employee financial wellbeing, we have a very real and meaningful impact on people's lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure. We are backed by some of the biggest brands, including investments from Blenheim Chalcot (the UK's leading venture builder), Legal and General (the FTSE 100 insurer and asset manager), Experian and Goldman Sachs, and funding partnerships with JP Morgan and Blue Owl. Launched in 2015, we have made excellent progress, and are scaling fast. We have been named BITC's Responsible Business of Year, included in KPMG's Global Fintech 100, listed top of the Forbes' list of socially-responsible startups, and profiled by the Financial Times, the Times, the Wall Street Journal, the Guardian, the Telegraph, CityAM and the Institute of Directors. Your role in our mission We are looking for an exceptional Data Science Manager to lead our Data Science and Decision Systems teams. Reporting to the Chief Product Officer, you will be responsible for shaping strategy and mentoring the team, while remaining hands-on with project delivery. In 2026, you and the team will focus on optimising our core lending product. You will work closely with the Credit Risk and Collections teams to deliver new scorecards, build collections models, and refactor our decision engine - initiatives that contribute directly to improving our unit economics and scalability. From 2027, the focus will shift to expansion and innovation. As the team grows to support other parts of the business, your role will evolve into a more managerial position focused on setting strategy and supporting team members. Your stakeholder set will also broaden to include Product, Engineering, and Enterprise Data teams as you tackle topics such as marketing attribution, predictive models for our wider product set, and defining new measures for customer financial wellbeing. What you'll do Lead the delivery of our Data Science roadmap, including the development of new credit risk scorecards, collections models, and the refactoring of our Decision Engine. Initially dedicate 50% of your time to hands-on delivery (modelling and analysis), with this proportion decreasing as the team and scope expand in 2027. Own the architecture and deployment processes for the Decision Engine, ensuring high availability, minimising operational risk, and managing technical debt. Introduce and enforce best practices in modelling, engineering, and governance to ensure technical excellence across the Data Science team. Provide expert mentorship to the team, fostering individual growth and helping them navigate complex technical challenges. Promote a data-driven approach to problems across the business, championing the Data Science team through excellent communication. Collaborate with Credit Risk, Collections, and Product stakeholders to translate business objectives into technical requirements. Shape the future strategy for the Data Science function, preparing the team to pivot toward marketing attribution and financial wellbeing innovation in the long term. About you Experience: You have 5+ years of experience in Data Science or similar analytical roles, with a proven track record of delivering value, preferably in financial services and / or credit risk Leadership: You have experience managing teams and you are capable of mentoring juniors and representing Data Science to senior stakeholders. Production-grade Python: You write clean, modular code and are comfortable building production-grade systems in python. Data & SQL proficiency: You are highly skilled in SQL, capable of extracting and processing data to derive actionable insights. Engineering best practices: You are experienced with version control (Git), Docker and CI/CD pipelines. Communication & influence: You can explain complex technical concepts to non-technical stakeholders (like Product and Commercial teams) and advocate for the best data solutions. Nice to have R language skills: Our existing decision engine is written in R. As such, the ability to read and interpret R code will be valuable as you lead the refactoring effort into Python. Scale-up experience: You have succeeded in fast-paced scale-up environments. Model governance: You have had experience with setting up or managing formal model governance frameworks (e.g. model monitoring, documentation standards). Deep Learning and AI: You are well-versed in LLMs and GenAI, and know how to best apply their use to drive business value. Who you are We embrace our differences, but there's one thing we like to share, which is our values, so it's important to us that you are: Fearless, and able to make the impossible possible. Responsible, and want to help build a business that delivers a meaningful difference to society. Dedicated and want to commit to an exciting journey even through the highs and lows. Empathetic and truly care about every colleague and customer. United, because you understand we achieve more when we work as a team. Humble, and take feedback as a way to continuously improve. What do you get for all your hard work? 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships Enhanced policies that are family and pet friendly, to include company sick pay and peternity leave Great career development in a fast paced environment Regular company socials (post covid, although we've got quite good at virtual ones too!) Volunteer days as part of our CSR program More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more! The typical interview process Introductory call with our Talent Manager (phone call - 20 mins) Past experience interview with Hiring Manager (video call - 30 mins) Technical and culture interview with Team and Stakeholder(s) (in person - 2 hours) We're looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people's lives for the better then we'd love to hear from you. Learn more at Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish. If there's anything we can do to accommodate your specific situation, please let us know. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Salary Finance's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service . click apply for full job details
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We've evolved Fanatical Support to encompass the entire customer journey - providing Fanatical Experience from first consultation to daily operations. Our passionate experts combine the power of proactive, always on service and expertise with best in class tools and automation to deliver technology when and how our customers need it. We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross functional experience with proven ability to engage C level stakeholders, drive top of funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. Responsibilities Strategic Leadership & Opportunity Development • Drive top of funnel opportunity creation through two parallel tracks: engaging C level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. • Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS. • Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization. • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios. • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics). • Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns. • Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery • Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts. • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art of the possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS native), migration planning. • Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps. • Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse). • Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness Maintain deep expertise across both solution domains: 1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. 2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake. • Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery). • Guide architectural decisions on build vs. buy for both AI capabilities and data platform components. Required Experience Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments. A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior level architect or solutions leader with hands on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. Preferred Qualifications An advanced degree (Master's or PhD) in a relevant field. Experience with AWS professional services or AWS partner ecosystem across both AI and data domains. Multiple Lakehouse platforms: Databricks, Snowflake, AWS native (Glue + Athena + Redshift). Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI. Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro. Experience with regulated industries requiring governance for both AI and data platforms. Track record building practices that deliver both generative AI solutions and data modernization programs. Published thought leadership in generative AI applications and/or modern data architectures.
Mar 11, 2026
Full time
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We've evolved Fanatical Support to encompass the entire customer journey - providing Fanatical Experience from first consultation to daily operations. Our passionate experts combine the power of proactive, always on service and expertise with best in class tools and automation to deliver technology when and how our customers need it. We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross functional experience with proven ability to engage C level stakeholders, drive top of funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. Responsibilities Strategic Leadership & Opportunity Development • Drive top of funnel opportunity creation through two parallel tracks: engaging C level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. • Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS. • Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization. • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios. • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics). • Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns. • Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery • Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts. • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art of the possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS native), migration planning. • Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps. • Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse). • Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness Maintain deep expertise across both solution domains: 1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. 2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake. • Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery). • Guide architectural decisions on build vs. buy for both AI capabilities and data platform components. Required Experience Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments. A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior level architect or solutions leader with hands on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. Preferred Qualifications An advanced degree (Master's or PhD) in a relevant field. Experience with AWS professional services or AWS partner ecosystem across both AI and data domains. Multiple Lakehouse platforms: Databricks, Snowflake, AWS native (Glue + Athena + Redshift). Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI. Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro. Experience with regulated industries requiring governance for both AI and data platforms. Track record building practices that deliver both generative AI solutions and data modernization programs. Published thought leadership in generative AI applications and/or modern data architectures.
Tech Lead - Asset Management Data Platform (Pricing & Quant Data) Permanent London (Hybrid - 3 days/week onsite) Up to 140,000 + bonus + excellent benefits Lorien is partnering with a leading UK investment and asset management organisation to hire a hands-on Tech Lead to help build and evolve a modern cloud data platform supporting front-office investment activity. This is a high-impact role in a London-based team that works closely with the business, shaping how critical pricing, hedging and investment datasets are produced, governed and shared. This role involes leading technical design and delivery from the front, mentoring engineers, and setting engineering standards (without formal line management). You'll be trusted to operate with high autonomy and drive delivery day-to-day. The opportunity (what you'll be working on) Building and running a greenfield/early-stage Snowflake data platform that acts as a data hub for the asset management function Delivering high-quality, timely data for pricing workflows (ensuring the right data is available for pricing, and distributed correctly once prices are produced) Supporting asset & liability matching and hedging MI use-cases by providing trusted datasets to investment stakeholders and quant teams Modernising how data is served to consumers, including reworking APIs/data services to use more timely inputs and improve pricing accuracy Helping enable expansion of in-house capability to trade across multiple asset classes, by strengthening data foundations and delivery What you'll do Lead technical design and implementation across data services, APIs, and platform components Set and uphold engineering standards (patterns, code quality, reviews, testing approach) Drive modern delivery practices: CI/CD, test automation, DevOps ways of working Ensure solutions are secure, scalable, and production-ready in a regulated environment Mentor and support engineers through pairing, coaching, workshops and code reviews Work directly with front-office / investment stakeholders to translate outcomes into technical delivery Operate independently, owning your technical backlog and delivery plan with minimal day-to-day oversight What they're looking for (candidate profile) Essential experience Strong hands-on technical leadership in a front-office investment/trading environment Background in Investment Banking, Asset Management, or Wealth Management, ideally where the organisation trades and manages its own funds Proven ability to deliver data-intensive platforms or services used by front-office stakeholders (trading, portfolio, risk, quants) Strong engineering capability across Python, SQL, Snowflake, and AWS (modern cloud patterns; serverless experience is a strong advantage) Comfortable owning solution design, making decisions, and driving delivery with high autonomy Excellent stakeholder communication skills (can influence, align, and keep delivery moving) Desirable Experience with pricing / market data, ALM concepts, hedging MI, or data supplied to quant/model users Strong solution design skills (end-to-end data/service design) Experience working across multiple teams / scaled delivery environments Exposure to event-driven / serverless architectures and modern data engineering patterns Why this role stands out Modern stack: Snowflake + AWS (serverless), building on a new platform with real scope to shape engineering direction Autonomy and trust-based culture: strong ownership, ability to implement what you think is best Front-and-centre London team build-out: a key hire helping establish and grow a new capability close to the business Meaningful domain challenges: pricing, hedging, investment datasets - real-world impact and complexity Working pattern & package London hybrid: typically 3 days per week onsite Salary up to 140,000 (plus bonus) Strong benefits package (details shared during process) Open to flexible working discussions (including part-time/job share in principle) Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Mar 11, 2026
Full time
Tech Lead - Asset Management Data Platform (Pricing & Quant Data) Permanent London (Hybrid - 3 days/week onsite) Up to 140,000 + bonus + excellent benefits Lorien is partnering with a leading UK investment and asset management organisation to hire a hands-on Tech Lead to help build and evolve a modern cloud data platform supporting front-office investment activity. This is a high-impact role in a London-based team that works closely with the business, shaping how critical pricing, hedging and investment datasets are produced, governed and shared. This role involes leading technical design and delivery from the front, mentoring engineers, and setting engineering standards (without formal line management). You'll be trusted to operate with high autonomy and drive delivery day-to-day. The opportunity (what you'll be working on) Building and running a greenfield/early-stage Snowflake data platform that acts as a data hub for the asset management function Delivering high-quality, timely data for pricing workflows (ensuring the right data is available for pricing, and distributed correctly once prices are produced) Supporting asset & liability matching and hedging MI use-cases by providing trusted datasets to investment stakeholders and quant teams Modernising how data is served to consumers, including reworking APIs/data services to use more timely inputs and improve pricing accuracy Helping enable expansion of in-house capability to trade across multiple asset classes, by strengthening data foundations and delivery What you'll do Lead technical design and implementation across data services, APIs, and platform components Set and uphold engineering standards (patterns, code quality, reviews, testing approach) Drive modern delivery practices: CI/CD, test automation, DevOps ways of working Ensure solutions are secure, scalable, and production-ready in a regulated environment Mentor and support engineers through pairing, coaching, workshops and code reviews Work directly with front-office / investment stakeholders to translate outcomes into technical delivery Operate independently, owning your technical backlog and delivery plan with minimal day-to-day oversight What they're looking for (candidate profile) Essential experience Strong hands-on technical leadership in a front-office investment/trading environment Background in Investment Banking, Asset Management, or Wealth Management, ideally where the organisation trades and manages its own funds Proven ability to deliver data-intensive platforms or services used by front-office stakeholders (trading, portfolio, risk, quants) Strong engineering capability across Python, SQL, Snowflake, and AWS (modern cloud patterns; serverless experience is a strong advantage) Comfortable owning solution design, making decisions, and driving delivery with high autonomy Excellent stakeholder communication skills (can influence, align, and keep delivery moving) Desirable Experience with pricing / market data, ALM concepts, hedging MI, or data supplied to quant/model users Strong solution design skills (end-to-end data/service design) Experience working across multiple teams / scaled delivery environments Exposure to event-driven / serverless architectures and modern data engineering patterns Why this role stands out Modern stack: Snowflake + AWS (serverless), building on a new platform with real scope to shape engineering direction Autonomy and trust-based culture: strong ownership, ability to implement what you think is best Front-and-centre London team build-out: a key hire helping establish and grow a new capability close to the business Meaningful domain challenges: pricing, hedging, investment datasets - real-world impact and complexity Working pattern & package London hybrid: typically 3 days per week onsite Salary up to 140,000 (plus bonus) Strong benefits package (details shared during process) Open to flexible working discussions (including part-time/job share in principle) Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 11, 2026
Full time
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Since 2023, Anduril UK has experienced rapid growth, introducing world leading software first, hardware enabled systems to the UK Ministry of Defence and other government agencies. Our exemplar programme of Maritime Sentry Towers (MST), has been developed and delivered in close partnership with the UK government and sovereign British industry, fundamentally changing how border security and surveillance capabilities can be employed by UK authorities. Additionally, Anduril UK has expanded its portfolio to include the ALTIUS 600, a versatile autonomous aerial system, and Seabed Sentry, an advanced underwater surveillance platform. These systems, along with others, position Anduril UK to provide a broad range of software and software enabled hardware products to meet the UK's defence and security needs as outlined in the 2023 Integrated Review Refresh and Defence Command Paper. World leading technology like MST, ALTIUS 600, Seabed Sentry, and many of the other autonomous systems that will underpin the UK's technological future rely on modern C4 systems. These systems can integrate and fuse data across distributed systems, nodes, and networks to enable timely command decision making. Anduril's open architecture Lattice operating system is an AI powered software platform that transforms thousands of data streams into actionable information for operators at all levels. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, and networking technology to UK defence and security personnel in months, not years. Our focus is on rapidly delivering innovative solutions that enhance the UK's defence capabilities, support its industrial strategy, and contribute to its position as a science and technology leader. ABOUT THE TEAM We are seeking an experienced international trade compliance leader to help build a best in class trade compliance program supporting the EMEA region. The International Trade Compliance team is responsible for providing strategic, high level trade compliance advice and guidance to internal business and engineering teams as well as owning day to day tactical execution. Anduril is a fast growing defence products company at the early stages of growth. Consistent with this fast growth, members of Anduril's ITC team must be resourceful, creative, and eager to take ownership of complex matters. ABOUT THE JOB We are looking for International Trade Compliance Leader to join our rapidly growing team in London. In this role, you will be responsible for driving international trade controls and policies to protect and guide the development of commercial dual use and defence technology across the EMEA region, as an expert in applicable US and non US export control laws and regulations. The role will be a key interface between engineering, program management, compliance, and senior leadership to ensure that product teams are in line with engineering goals and compliance frameworks. This person will be responsible for designing and managing controls plans for commercial dual use and defence platforms across the region and ensuring compliance with U.S. and global export control regulations. You will provide strategic guidance and regulatory expertise, achieving positive outcomes supporting Anduril's global growth objectives. WHAT YOU'LL DO Design and implement trade compliance policies, protections, and infrastructure to ensure engineering/ programme development meets schedule objectives, consistent with ITAR, EAR, and local country laws/regulations of EU & UK. Coordinate with external partners (e.g., customers, suppliers, in region government agencies, etc.) to ensure product roadmaps align with internal compliance posture and pivot accordingly Develop country specific classification decision rationale, heuristics and methodology for Anduril programs to improve efficiency in classification while maintaining accuracy Leverage AI for rapid risk mitigated determinations Support the release of technology and data to internal and external stakeholders Deploy and maintain country specific J/C training curricula and robust methodologies to meet cost and performance metrics Apply for and manage country specific export authorizations, when required Oversee country specific export authorizations, ensuring compliance with license scope, provisos and associated conditions Support the logistics team on hardware exports and imports as appropriate Provide guidance and training to Anduril regional teams on ITAR, EAR and country specific regulations as appropriate Perform compliance assessments, identifying and mitigating compliance risks, of export/import authorizations and related transactions and assist in any investigations of potential compliance issues Lead working groups, independent projects, and collaborative efforts with within the compliance function or cross functionally driving ITC program enhancements Support and implement corrective actions that result from compliance issues Navigate co production, co development, and offset projects across multiple countries, ensuring compliance with US export regulations and country specific trade laws Manage Defence export portal for license applications, tracking, and reporting (RR) Evaluate and review commodities, including hardware, software, and technical data, for export licence eligibility under AUKUS and other international trade control frameworks Communicate and collaborate with regulators and outside counsel to address export compliance matters Stay updated on regulatory changes and export compliance requirements, providing timely insights and guidance to leadership Provide guidance on the use of collaborative environments for sharing technical information across borders REQUIRED QUALIFICATIONS Ability to travel % Understanding of engineering concepts across software and hardware and development principles to be able to craft policies and procedures to segregate commercial and export controlled technology development Strong understanding of the U.S. and non U.S. export regulations, including relevant classifications pertaining to aerospace parts, electronics, computers, IT equipment, encryption technology, and navigational hardware, etc. years experience in product development, defence technology, startups, defence contracting or similar +5 years experience in trade compliance, international trade controls, international contracts management A superpower for smashing through regulatory roadblocks Ability to obtain and maintain an NV2 Security Clearance PREFERRED QUALIFICATIONS Experience with EUUS/UKUS partnership frameworks, including export compliance, licence management, and cross border collaboration requirements Experience with customs and import filings, including managing Free Trade Agreements (FTAs), temporary imports, and processing ATA Carnets for duty free and tax free international transactions Experience in group 3 5 UAS, UUVs, or robotic systems product development or concepts Experience working with or supporting government contracts Experience in managing development infrastructure and training technical teams Experience designing and implementing technology control plans An understanding of the distinctives and intersection of Lean Product and Process Development, Agile Software Development, and Lean Production Knowledge of exportability considerations and experience incorporating export control compliance into product development plans Understanding of Missile Technology Control Regime (MTCR) guidelines The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby . click apply for full job details
Mar 11, 2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Since 2023, Anduril UK has experienced rapid growth, introducing world leading software first, hardware enabled systems to the UK Ministry of Defence and other government agencies. Our exemplar programme of Maritime Sentry Towers (MST), has been developed and delivered in close partnership with the UK government and sovereign British industry, fundamentally changing how border security and surveillance capabilities can be employed by UK authorities. Additionally, Anduril UK has expanded its portfolio to include the ALTIUS 600, a versatile autonomous aerial system, and Seabed Sentry, an advanced underwater surveillance platform. These systems, along with others, position Anduril UK to provide a broad range of software and software enabled hardware products to meet the UK's defence and security needs as outlined in the 2023 Integrated Review Refresh and Defence Command Paper. World leading technology like MST, ALTIUS 600, Seabed Sentry, and many of the other autonomous systems that will underpin the UK's technological future rely on modern C4 systems. These systems can integrate and fuse data across distributed systems, nodes, and networks to enable timely command decision making. Anduril's open architecture Lattice operating system is an AI powered software platform that transforms thousands of data streams into actionable information for operators at all levels. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, and networking technology to UK defence and security personnel in months, not years. Our focus is on rapidly delivering innovative solutions that enhance the UK's defence capabilities, support its industrial strategy, and contribute to its position as a science and technology leader. ABOUT THE TEAM We are seeking an experienced international trade compliance leader to help build a best in class trade compliance program supporting the EMEA region. The International Trade Compliance team is responsible for providing strategic, high level trade compliance advice and guidance to internal business and engineering teams as well as owning day to day tactical execution. Anduril is a fast growing defence products company at the early stages of growth. Consistent with this fast growth, members of Anduril's ITC team must be resourceful, creative, and eager to take ownership of complex matters. ABOUT THE JOB We are looking for International Trade Compliance Leader to join our rapidly growing team in London. In this role, you will be responsible for driving international trade controls and policies to protect and guide the development of commercial dual use and defence technology across the EMEA region, as an expert in applicable US and non US export control laws and regulations. The role will be a key interface between engineering, program management, compliance, and senior leadership to ensure that product teams are in line with engineering goals and compliance frameworks. This person will be responsible for designing and managing controls plans for commercial dual use and defence platforms across the region and ensuring compliance with U.S. and global export control regulations. You will provide strategic guidance and regulatory expertise, achieving positive outcomes supporting Anduril's global growth objectives. WHAT YOU'LL DO Design and implement trade compliance policies, protections, and infrastructure to ensure engineering/ programme development meets schedule objectives, consistent with ITAR, EAR, and local country laws/regulations of EU & UK. Coordinate with external partners (e.g., customers, suppliers, in region government agencies, etc.) to ensure product roadmaps align with internal compliance posture and pivot accordingly Develop country specific classification decision rationale, heuristics and methodology for Anduril programs to improve efficiency in classification while maintaining accuracy Leverage AI for rapid risk mitigated determinations Support the release of technology and data to internal and external stakeholders Deploy and maintain country specific J/C training curricula and robust methodologies to meet cost and performance metrics Apply for and manage country specific export authorizations, when required Oversee country specific export authorizations, ensuring compliance with license scope, provisos and associated conditions Support the logistics team on hardware exports and imports as appropriate Provide guidance and training to Anduril regional teams on ITAR, EAR and country specific regulations as appropriate Perform compliance assessments, identifying and mitigating compliance risks, of export/import authorizations and related transactions and assist in any investigations of potential compliance issues Lead working groups, independent projects, and collaborative efforts with within the compliance function or cross functionally driving ITC program enhancements Support and implement corrective actions that result from compliance issues Navigate co production, co development, and offset projects across multiple countries, ensuring compliance with US export regulations and country specific trade laws Manage Defence export portal for license applications, tracking, and reporting (RR) Evaluate and review commodities, including hardware, software, and technical data, for export licence eligibility under AUKUS and other international trade control frameworks Communicate and collaborate with regulators and outside counsel to address export compliance matters Stay updated on regulatory changes and export compliance requirements, providing timely insights and guidance to leadership Provide guidance on the use of collaborative environments for sharing technical information across borders REQUIRED QUALIFICATIONS Ability to travel % Understanding of engineering concepts across software and hardware and development principles to be able to craft policies and procedures to segregate commercial and export controlled technology development Strong understanding of the U.S. and non U.S. export regulations, including relevant classifications pertaining to aerospace parts, electronics, computers, IT equipment, encryption technology, and navigational hardware, etc. years experience in product development, defence technology, startups, defence contracting or similar +5 years experience in trade compliance, international trade controls, international contracts management A superpower for smashing through regulatory roadblocks Ability to obtain and maintain an NV2 Security Clearance PREFERRED QUALIFICATIONS Experience with EUUS/UKUS partnership frameworks, including export compliance, licence management, and cross border collaboration requirements Experience with customs and import filings, including managing Free Trade Agreements (FTAs), temporary imports, and processing ATA Carnets for duty free and tax free international transactions Experience in group 3 5 UAS, UUVs, or robotic systems product development or concepts Experience working with or supporting government contracts Experience in managing development infrastructure and training technical teams Experience designing and implementing technology control plans An understanding of the distinctives and intersection of Lean Product and Process Development, Agile Software Development, and Lean Production Knowledge of exportability considerations and experience incorporating export control compliance into product development plans Understanding of Missile Technology Control Regime (MTCR) guidelines The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby . click apply for full job details
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
Mar 11, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
Mar 11, 2026
Full time
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are currently seeking a Senior Engineering Software Manager to join our Customer eXperience Engineering (CXE) team, which is part of AMD's Embedded Computing Group. This is an exciting opportunity to work within a highly strategic and important part of AMD's business, targeting the next generation of Embedded & AI technologies and tools to meet the needs of our customers. As part of the CXE team you will act as 'Customer Zero', developing industrial proof of concept system solutions on our next generations of Embedded products. You will provide a customer perspective to influence the architecture of our next generation silicon, software and tools. The successful candidate will lead the development of Embedded software platforms that can enable Physical AI systems-AI that perceives, reasons, and acts in the physical world. This role combines hands on technical depth in embedded software (C/C++, RTOS, Linux/Yocto) with strong people leadership, system level thinking, and close collaboration across hardware, software, and AI teams. You will manage and grow a high performing team responsible for real time, safety aware, resource constrained software that bridges silicon, firmware, operating systems, middleware, AI and other runtime stacks. The ideal candidate is equally comfortable reviewing RTOS scheduling decisions, shaping Yocto based Linux platforms, and setting a long term strategy for our Embedded SW requirements. As a key contributor, you will work alongside a diverse and experienced design team that will enable enormous opportunities for learning and self development. Key Responsibilities Technical Leadership Provide technical direction and architectural leadership for embedded software stacks spanning: RTOS based systems Embedded Linux platforms (Yocto) Device drivers, BSPs, middleware, AI and other runtimes Lead system level design decisions balancing latency, determinism, power, memory, safety, and performance Guide the integration of AI/ML workloads (inference pipelines, sensor fusion, control loops) into real time and embedded Linux environments Establish best practices for software quality, reliability, security, and functional safety Support bring up, debugging, and root cause analysis across the full HW/SW stack People & Organization Leadership Build, mentor, and retain a world class embedded software team Set clear technical expectations while enabling engineers to grow in both depth and scope Foster a culture of ownership, accountability, and engineering excellence Conduct performance management, career development, and succession planning Own embedded platform roadmaps aligned with product and silicon timelines Technical Expertise 10+ years of experience in embedded software development, with significant time in C/C++ Proven experience managing senior engineers and technical leads Strong hands on experience with RTOS (e.g., FreeRTOS, Zephyr, QNX, VxWorks, or equivalent) Deep knowledge of embedded Linux, including Yocto (recipes, layers, BSPs, CI integration) AI Driven Development Experience delivering software for production embedded systems Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline Benefits offered Benefits offered are described: AMD benefits at a glance. Equal Employment Opportunity AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.
Mar 10, 2026
Full time
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are currently seeking a Senior Engineering Software Manager to join our Customer eXperience Engineering (CXE) team, which is part of AMD's Embedded Computing Group. This is an exciting opportunity to work within a highly strategic and important part of AMD's business, targeting the next generation of Embedded & AI technologies and tools to meet the needs of our customers. As part of the CXE team you will act as 'Customer Zero', developing industrial proof of concept system solutions on our next generations of Embedded products. You will provide a customer perspective to influence the architecture of our next generation silicon, software and tools. The successful candidate will lead the development of Embedded software platforms that can enable Physical AI systems-AI that perceives, reasons, and acts in the physical world. This role combines hands on technical depth in embedded software (C/C++, RTOS, Linux/Yocto) with strong people leadership, system level thinking, and close collaboration across hardware, software, and AI teams. You will manage and grow a high performing team responsible for real time, safety aware, resource constrained software that bridges silicon, firmware, operating systems, middleware, AI and other runtime stacks. The ideal candidate is equally comfortable reviewing RTOS scheduling decisions, shaping Yocto based Linux platforms, and setting a long term strategy for our Embedded SW requirements. As a key contributor, you will work alongside a diverse and experienced design team that will enable enormous opportunities for learning and self development. Key Responsibilities Technical Leadership Provide technical direction and architectural leadership for embedded software stacks spanning: RTOS based systems Embedded Linux platforms (Yocto) Device drivers, BSPs, middleware, AI and other runtimes Lead system level design decisions balancing latency, determinism, power, memory, safety, and performance Guide the integration of AI/ML workloads (inference pipelines, sensor fusion, control loops) into real time and embedded Linux environments Establish best practices for software quality, reliability, security, and functional safety Support bring up, debugging, and root cause analysis across the full HW/SW stack People & Organization Leadership Build, mentor, and retain a world class embedded software team Set clear technical expectations while enabling engineers to grow in both depth and scope Foster a culture of ownership, accountability, and engineering excellence Conduct performance management, career development, and succession planning Own embedded platform roadmaps aligned with product and silicon timelines Technical Expertise 10+ years of experience in embedded software development, with significant time in C/C++ Proven experience managing senior engineers and technical leads Strong hands on experience with RTOS (e.g., FreeRTOS, Zephyr, QNX, VxWorks, or equivalent) Deep knowledge of embedded Linux, including Yocto (recipes, layers, BSPs, CI integration) AI Driven Development Experience delivering software for production embedded systems Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline Benefits offered Benefits offered are described: AMD benefits at a glance. Equal Employment Opportunity AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Mar 09, 2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals