We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function.
Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice.
This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation.
You'll be responsible for
Defining engineering standards for enterprise AI
Driving adoption of Agentic AI across multiple engineering teams
Designing production-grade RAG architectures
Establishing LangGraph and LangChain implementation patterns
Designing scalable vector database retrieval strategies
Leading best practice across MLOps, CI/CD and model deployment
Improving AI testing, evaluation and observability
Implementing guardrails and hallucination mitigation
Influencing senior engineering stakeholders without direct line managementWe're looking for someone with deep experience in:
Python
AWS
LangChain
LangGraph
Retrieval Augmented Generation (RAG)
Vector databases
MLOps
Production Machine Learning platforms
AI governance and engineering best practice
PyTorch, TensorFlow or Scikit-learnMore important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product teams.
Contract
£(Apply online only) per day (inclusive)
Initial 6 months with long-term programme roadmap
Inside IR35
London (3 days per week)
Salary description
£750.00 - £900.00 per day