AI Engineer - Contract - Remote (UK Based)

Who we are Blackstone& are a technical consultancy who specialise in digital transformation and complex technical deliveries. 15 years ago that meant Cloud adoption. 10 years ago it was DevOps. 5 years ago, SRE and platform engineering. We still cover all of that, but you guessed it, a lot of our work right now is AI adoption. And we mean actual AI adoption.. in production... in Enterprises. Not just a vibe coded app on a local machine. The pace and impact of each wave keeps accelerating, but we think successful adoption still comes down to two things: people and constraints. What does transformation actually look like inside the limits of an organisation, and how do we bring the people along for it? Interested in helping us answer those questions for our customers? This is a hands-on contract embedded in live customer delivery. You'll build and ship AI systems in complex, high-stakes environments, not run proof-of-concepts that quietly die before they reach production. You'll work closely with delivery managers, solution architects and client stakeholders, turning real business problems into AI that does the job. You'll bring engineering discipline to a space that often lacks it, and help shape how we deliver AI at scale. Real experience building and running evaluation harnesses to measure LLM performance, output quality and regression. A deep, working understanding of large language models: how they behave, where they break, and how to engineer around it. Hands-on with Azure AI Foundry or equivalent Azure AI services, covering deployment, monitoring and integration. Strong context engineering, designing prompts and context windows that are robust and repeatable. Production AI agents: tool use, memory, and orchestration with the likes of LangChain, Semantic Kernel or AutoGen. Familiarity with agentic design patterns, including multi-step reasoning, planning loops and safe agent behaviour in regulated settings. Hybrid, a mix of remote and on-site with the client as the engagement requires. 6 months to start, with extensions expected based on performance and how the project develops ~ If you take engineering seriously, stay curious about AI without losing your scepticism, and like the idea of your work being visible in a small team, we'd like to hear from you.