AI Architect

Role : Platform & Agentic AI Architect (Lead)

Location : London-UK

Full-Time Permanent role

*******Ready for Sponsorship if required*******

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 reliable work. You own the claude_code_forge 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 commands

• Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate

• Enforce architecture mechanically (structural tests, linting rules, dependency-layer checks) rather than through documentation alone

• Run weekly entropy-management sweeps using background Claude Code tasks to maintain codebase coherence

• Mentor engineers on prompt-driven TDD, multi-agent orchestration, and Claude Desktop / Cowork workflows

• Report migration velocity, agent utilisation, and risk to stakeholders

You Bring

• 6-8 years software engineering; 2+ years leading delivery teams

• Deep AWS and Azure serverless experience (Lambda → Functions, DynamoDB → Cosmos DB, Step Functions → Durable Functions)

• Hands-on Claude Code, Claude Desktop, and Cowork proficiency

• Track record of building developer tooling, CI/CD pipelines, or platform engineering