AI/LLM Engineer/Architect (Contract) - RAG Implementation| London (mostly remote) - Outside IR35
We're looking for a highly skilled AI/LLM Engineer/Architect to lead the implementation of Retrieval Augmented Generation (RAG) solutions for a major client project in London.
This is a hands-on contract role for someone who can build from the ground up - shaping the AI technology direction, ensuring robust architecture, and delivering secure, production-grade systems on AWS.
The Role
You'll be responsible for the end-to-end delivery of advanced AI capabilities, combining deep technical knowledge with strategic influence. You'll steer the organisation's AI stack, define best practices, and ensure the delivery of scalable, cost-effective solutions.
What You'll Do • Lead the design, build, and deployment of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks • Define and champion best practices, ensuring a clear understanding of what good looks like for production AI systems
What You'll Bring • Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills, with the ability to advise senior stakeholders
If you have the required experience and love the idea of making your impact within this exciting organisation, please send your CV to me ASAP.