Lead Agentic AI Engineer for Enterprise AI

Kyndryl

Greater London

Hybrid

GBP 120,000 - 170,000

Full time

14 days+
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Job summary

Kyndryl is seeking a Forward Deployed Lead / Principal Engineer (FDE) in the UK to drive the technical direction of major enterprise AI programs. You will architect agentic systems and generative AI applications, align AI architectures with enterprise goals, and guide teams across design, build, and deployment with close collaboration with platform engineering.

You will apply expertise in agentic AI, RAG, and modern software engineering to establish governance, promote best practices, and mentor

Qualifications

  • 8–10+ years of software or solution engineering with AI system delivery in client engagements.
  • Strong Python engineering (FastAPI) and SDLC practices (design, testing, CI/CD).
  • Hands-on with agentic AI frameworks and MCP; experience building RAG/LLM pipelines.

Responsibilities

  • Design and deliver enterprise AI systems and multi-agent workflows.
  • Build RAG pipelines, integrate LLM APIs, vector databases, and MCP tooling.
  • Develop production-grade Python services with CI/CD and testing.
  • Collaborate with platform engineering on deployment, hosting, and MLOps/LLMOps.
  • Provide architectural oversight across multi-disciplinary teams.

Skills

AI engineering
Python (FastAPI)
Agentic AI frameworks
RAG pipelines
MCP (Model Context Protocol)
Postgres/Neo4j data modelling
Stakeholder communication
Leadership & mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph
OpenAI Agents SDK
Postgres/Neo4j (DBs)

Job description

Kyndryl is seeking a Forward Deployed Lead / Principal Engineer (FDE) in the UK to drive the technical direction of major enterprise AI programs. You will architect agentic systems and generative AI applications, align AI architectures with enterprise goals, and guide teams across design, build, and deployment with close collaboration with platform engineering.

You will apply expertise in agentic AI, RAG, and modern software engineering to establish governance, promote best practices, and mentor

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