Lead AI Engineer

Lead AI Engineer

NXA Talent LTD | City Of London, ENG, GB

Posted 9 days ago

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Description

AI Engineer



  • Leading UK Retailer

  • London (Hybrid Working)

  • 12 Months

  • Inside IR35


This is an exciting opportunity to play a key role in shaping and delivering next generation AI capabilities within a large scale retail environment.


Role Responsibilities



  • Design and develop Agentic AI solutions capable of multi-step reasoning, planning, and autonomous action execution.

  • Architect multi agent systems, orchestration patterns, and scalable AI microservices.

  • Build AI applications using Python and Azure OpenAI technologies.

  • Develop RAG architectures and integrate vector search solutions.

  • Implement orchestration workflows using Semantic Kernel and LangGraph.

  • Integrate enterprise systems, APIs, and tools using MCP and similar frameworks.

  • Establish AI governance, security, safety, and responsible AI practices.

  • Lead the implementation and deployment of AI services into production environments.

  • Collaborate with architects, product teams, and business stakeholders to deliver AI driven solutions.

  • Optimise performance, scalability, cost, and latency of LLM based applications.


Experience Required



  • Proven experience designing and delivering production grade AI and Generative AI solutions.

  • Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph.

  • Experience building multi agent architectures, RAG solutions, and complex orchestration workflows.

  • Strong Python development skills with experience building scalable microservices.

  • Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks.

  • Experience with event driven architectures, REST APIs, Docker, Kubernetes, MLOps, and LLMOps.

  • Solid understanding of vector databases, embeddings, semantic search, and relational/NoSQL databases.

  • Experience defining AI governance frameworks, coding standards, and best practices.
  • Ability to troubleshoot and support AI solutions in production environments.


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