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Full Stack Commerce Engineer; generative AI​/ML - Manager

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Accenture UK & Ireland
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer
Job Description & How to Apply Below
Position: Full Stack Commerce Engineer (generative AI/ML) - Manager
Location: Greater London

Full Stack Commerce Engineer (generative AI/ML) - Manager

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, 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. Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

What you'll 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.
Responsibilities
  • 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, including 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 No

    SQL databases and developing complex Stored 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.
Qualifications
  • Proven experience in a client‑facing or "forward‑deployed" engineering role, with the ability to translate business requirements into technical architecture.
  • Expertise in Full‑Stack Development and Python for AI/ML and data processing.
  • Strong hands‑on experience building and deploying solutions on one or more cloud platforms (Azure or GCP preferred), covering networking, security, storage, and monitoring.
  • Demonstrable experience integrating with Generative AI services and platforms (e.g., OpenAI API, Vertex AI, Azure ML) and core AI/ML architectural patterns (e.g., RAG, deployment models, data drift detection).
  • Deep knowledge of how AI/ML can be integrated with enterprise experience platforms, such as DAM, PXM, CDP, Commerce Engines, CMS, and CRMs.
  • Advanced skills in SQL and No

    SQL database management and the use of Stored Procedures.
  • Background in modern Software Engineering and Dev Sec Ops  practices.
Preferred Qualifications
  • A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert).
  • Experience with MLOps frameworks and vector databases (e.g., Pinecone, Weaviate).
  • A portfolio of building Proof‑of‑Concepts that demonstrate an aptitude for rapid learning and application of new technologies.
  • Experience delivering production AI/ML services for scaled end‑user consumption within the retail or CPG industry.
Benefits
  • Competitive basic salary (salary range provided).
  • 30 days vacation per year, private medical insurance, 3 extra days leave per year for charitable work of your choice.
  • Flexibility and mobility required; may spend time onsite with clients and partners to enable first‑class delivery.
About Accenture

Accenture is a global…

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