Artificial Intelligence Engineer
Role details
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Job description
Role: Platform & Agentic AI Architect (Lead) + Compliance + EnablementLocation: London, UK- Inside IR35 Contract: (3days a week Onsite).Job Description:You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure.Inspired by OpenAI's Harness Engineering model, your primary job is not writing code - it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliablework.You own the Claude codeforge scaffolding, define CLAUDE.md specs, enforce architectural invariants, and build the CI/CD guard-rails that keep agent-generated code coherent. You are player- coach: 70% building harness, 30% guiding the pod.Key Responsibilities:Own and evolve the Claude code forge scaffolding - repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commandsDecompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validateEnforce
Requirements
architecture mechanically (structural tests, linting rules, dependency-layer checks) rather than through documentation aloneRun weekly entropy-management sweeps using background Claude Code tasks to maintain codebase coherenceMentor engineers on prompt-driven TDD, multi-agent orchestration, and Claude Desktop / Cowork workflowsReport migration velocity, agent utilisation, and risk to stakeholders6-8 years software engineering; 2+ years leading delivery teamsDeep AWS and Azure serverless experience (Lambda * Functions, DynamoDB * Cosmos DB, Step Functions * Durable Functions)Hands-on Claude Code, Claude Desktop, and Cowork proficiencyTrack record of building developer tooling, CI/CD pipelines, or platform engineering