WeAreTechWomen
Job Description As a Full Stack Commerce Engineer (Consultant), you will support the design and delivery of AI enabled commerce and experience solutions, working closely with senior architects, managers, and client stakeholders. What you will do Support Client Facing Engagements: Support client workshops and engagements by acting as a technical contributor, helping design use cases and platform solutions that apply Generative AI to real business challenges, under the guidance of senior technical leads. Build AI Powered Solutions: Contribute to the design and development of full stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer. Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems. Develop and Maintain Data Solutions: Design and implement database components using SQL and NoSQL technologies, supporting data pipelines and stored procedures that handle large scale commerce and customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. Job Qualifications Experience in a client facing or forward deployed engineering role, supporting the translation of business requirements into technical solutions. Strong full stack engineering experience, with Python used for AI/ML or data driven applications. Hands on experience building and deploying applications on cloud platforms (Azure or GCP preferred), including security, networking, storage and monitoring. Practical experience integrating Generative AI services (e.g. OpenAI API, Vertex AI, Azure ML) and familiarity with core AI/ML patterns such as RAG and deployment architectures. Understanding of how AI/ML integrates with enterprise experience platforms (Commerce engines, DAM, PXM, CDP, CMS, CRM). Solid skills in SQL and NoSQL databases, including writing and maintaining stored procedures. Foundation in modern software engineering and DevSecOps practices. Set Yourself Apart Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof of concepts or MVPs, demonstrating rapid learning and experimentation. Experience supporting production AI/ML solutions, ideally within retail or CPG environments. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Job Description As a Full Stack Commerce Engineer (Consultant), you will support the design and delivery of AI enabled commerce and experience solutions, working closely with senior architects, managers, and client stakeholders. What you will do Support Client Facing Engagements: Support client workshops and engagements by acting as a technical contributor, helping design use cases and platform solutions that apply Generative AI to real business challenges, under the guidance of senior technical leads. Build AI Powered Solutions: Contribute to the design and development of full stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer. Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems. Develop and Maintain Data Solutions: Design and implement database components using SQL and NoSQL technologies, supporting data pipelines and stored procedures that handle large scale commerce and customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. Job Qualifications Experience in a client facing or forward deployed engineering role, supporting the translation of business requirements into technical solutions. Strong full stack engineering experience, with Python used for AI/ML or data driven applications. Hands on experience building and deploying applications on cloud platforms (Azure or GCP preferred), including security, networking, storage and monitoring. Practical experience integrating Generative AI services (e.g. OpenAI API, Vertex AI, Azure ML) and familiarity with core AI/ML patterns such as RAG and deployment architectures. Understanding of how AI/ML integrates with enterprise experience platforms (Commerce engines, DAM, PXM, CDP, CMS, CRM). Solid skills in SQL and NoSQL databases, including writing and maintaining stored procedures. Foundation in modern software engineering and DevSecOps practices. Set Yourself Apart Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof of concepts or MVPs, demonstrating rapid learning and experimentation. Experience supporting production AI/ML solutions, ideally within retail or CPG environments. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Accenture
Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," perfectly bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies - with a particular focus on Generative AI - to help our clients achieve market leadership. You'll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. In our team you will learn: How to architect and build sophisticated, AI-driven solutions that solve real-world commerce challenges for leading global brands. To design and integrate Generative AI capabilities with a complex enterprise Experience Platform ecosystem (DAM, PXM, CDP, Commerce Engines, CMS, Syndication Channels, CRMs). How to translate executive-level business strategy into cutting-edge, production-grade technical applications on cloud platforms like Azure and GCP. As a Full Stack Commerce Engineer Manager, you will: Lead Client-Facing Engagements: Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions: Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem: Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases: Design and implement robust database solutions, utilizing SQL and NoSQL databases and developing complex Store Procedures to handle large-scale commerce data. Drive Technical Strategy & Mentor Teams: Contribute to the technology strategy and solution design for major commerce projects, managing and supporting other developers and sharing insights across the Accenture Data & AI community.
Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," perfectly bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies - with a particular focus on Generative AI - to help our clients achieve market leadership. You'll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. In our team you will learn: How to architect and build sophisticated, AI-driven solutions that solve real-world commerce challenges for leading global brands. To design and integrate Generative AI capabilities with a complex enterprise Experience Platform ecosystem (DAM, PXM, CDP, Commerce Engines, CMS, Syndication Channels, CRMs). How to translate executive-level business strategy into cutting-edge, production-grade technical applications on cloud platforms like Azure and GCP. As a Full Stack Commerce Engineer Manager, you will: Lead Client-Facing Engagements: Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions: Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem: Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases: Design and implement robust database solutions, utilizing SQL and NoSQL databases and developing complex Store Procedures to handle large-scale commerce data. Drive Technical Strategy & Mentor Teams: Contribute to the technology strategy and solution design for major commerce projects, managing and supporting other developers and sharing insights across the Accenture Data & AI community.
