Lead AI Engineer - #2180252

NXA Talent Ltd


Date: 1 hour ago
City: London
Salary: £500 / day
Contract type: Full time
NXA Talent Ltd

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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