Job Description
Full Stack Commerce Engineer (Generative AI/ML)
London, UK
Competitive salary and package dependent on experience
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.
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.
Qualification
- 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 NoSQL database management and the use of Store Procedures.
- Background in modern Software Engineering and DevSecOps practices.
Set yourself apart
- 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.
What’s in it for you?
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for.
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.
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