EngineeringUK
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. BASIC QUALIFICATIONS Experience design/implementation/consulting experience of distributed applications. Management of technical, customer facing resources. Experience with AI/ML or related technology domain. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. BASIC QUALIFICATIONS Experience design/implementation/consulting experience of distributed applications. Management of technical, customer facing resources. Experience with AI/ML or related technology domain. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
EngineeringUK
Sr.GTM SSA Database UKI, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data and AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) EMEA GTM Data and AI team as a GTM Database Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy to position AWS as the best place to run Database workloads. We create sales plays, leverage partners, and build new initiatives that drive results for our customers in UKI. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers' goals. In emerging areas, we play a critical role as the "first in" teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. Key job responsibilities Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap. Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers' largest and most critical business challenges. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives. Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. 7+ years design/implementation/consulting experience of database-driven applications or infrastructures. Including hands-on experience as a DBA, data warehouse architect or database developer. 5+ years of technical experience in database management systems such as relational databases, NoSQL databases, and data warehouse solutions and large-scale database workloads. Implementation and tuning experience of Databases including knowledge of Schema Design, Query Tuning and Optimization, Data Migration and Integration. PREFERRED QUALIFICATIONS Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Track record of implementing AWS, Azure, OCI services in a variety of business environments such as large enterprises and start-ups. Analytics layer experience including Dashboards, Reporting, and OLAP. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Sr.GTM SSA Database UKI, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data and AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) EMEA GTM Data and AI team as a GTM Database Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy to position AWS as the best place to run Database workloads. We create sales plays, leverage partners, and build new initiatives that drive results for our customers in UKI. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers' goals. In emerging areas, we play a critical role as the "first in" teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. Key job responsibilities Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap. Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers' largest and most critical business challenges. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives. Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military. Experience in IT development or implementation/consulting in the software or Internet industries. Experience in design, implementation, or consulting in applications and infrastructures. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. 7+ years design/implementation/consulting experience of database-driven applications or infrastructures. Including hands-on experience as a DBA, data warehouse architect or database developer. 5+ years of technical experience in database management systems such as relational databases, NoSQL databases, and data warehouse solutions and large-scale database workloads. Implementation and tuning experience of Databases including knowledge of Schema Design, Query Tuning and Optimization, Data Migration and Integration. PREFERRED QUALIFICATIONS Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Track record of implementing AWS, Azure, OCI services in a variety of business environments such as large enterprises and start-ups. Analytics layer experience including Dashboards, Reporting, and OLAP. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
