Senior AI Engineer: Enterprise GenAI & RAG Leader

Capgemini

England

Hybrid

GBP 120,000 - 160,000

Full time

1 hour ago
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Job summary

Capgemini's AI Engineering Team in the EMEA Corporate Technology AMD area delivers enterprise-grade AI solutions, including Generative AI, RAG, and Agentic AI. You will work across offices, client sites and from home, in a hybrid model to balance business needs and collaboration.

We seek individuals with 10+ years in tech delivery and at least 2+ years building Generative AI on Azure, plus strong Python skills and experience with vector search and LLMs.

Qualifications

  • Over 10 years in tech delivery or AI solution development.
  • 2+ years designing Generative AI on Microsoft Azure (preferred) or AWS.
  • Experience building production-grade Generative AI apps (RAG, AI Agents, prompt engineering).
  • Knowledge of LLMs (GPT, Llama, Claude, etc.) and grounding/retrieval pipelines.
  • Strong Python skills for APIs, AI services, and automation.

Responsibilities

  • Collaborate with DX teams and stakeholders to define measurable success criteria for AI initiatives.
  • Design, develop, and deliver scalable AI solutions aligned to business objectives.
  • Evaluate tech options based on value, cost, risk, and long-term supportability.
  • Follow SDLC and governance processes with proper planning, testing, and reporting.
  • Promote engineering best practices, standards, and quality controls for secure, reliable AI solutions.
  • Partner with architecture, security, and infra teams to meet enterprise standards.

Skills

Generative AI
Azure
Python
LLMs
AI architecture
MLOps
Vector search
Stakeholder mgmt
Cloud services
Security & governance

Tools

Azure OpenAI Service
Azure AI Foundry
MCP
Weaviate/Pinecone/Milvus

Job description

Capgemini's AI Engineering Team in the EMEA Corporate Technology AMD area delivers enterprise-grade AI solutions, including Generative AI, RAG, and Agentic AI. You will work across offices, client sites and from home, in a hybrid model to balance business needs and collaboration.

We seek individuals with 10+ years in tech delivery and at least 2+ years building Generative AI on Azure, plus strong Python skills and experience with vector search and LLMs.

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