AI Architect - Developer Enablement

We need a proper builder to own how AI is used to develop software across the organisation.

Not an AI strategy role. Not a chatbot role. This is about building the developer AI ecosystem: the model layer, coding agents, agentic loops, developer tooling, specs, repositories, CI pipelines, testing and the standards that let engineers use AI properly at scale.

You will work out what actually works in practice. Which models are good for planning, coding, debugging, review and testing? How should developers use K3, GLM and other frontier/open models? Where do agentic loops help, where do they go off the rails, and how do we give them the right context, tools, permissions and controls?

You will define and build:

• AI coding workflows from specification through build, test, review and deployment
• Agentic coding loops: plan, execute, validate, fix, retry and escalation
• Shared context for agents: codebase knowledge, architecture, standards, tic...