AI CoE Engineer
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Job Description
About the role
Version 1 has 98% AI adoption across the business, live agentic deployments, and a governance framework that routes each use case to self-service AI or CoE-led transformation. The AI Centre of Excellence (CoE) takes the complex, high-value use cases and turns them into production systems. Demand is growing and the CoE is taking on more production work. We are adding two AI CoE Engineers to give the team stable, senior hands-on capability.
You will work with business teams to understand their problems, then design, build and prove solutions. You will also set technical standards and help others in the CoE, including interns and early-career engineers, to build well. This is a hands-on role with an architecture element: you will shape solution designs and write the code that proves them.
Key responsibilities
• Understand the problem. Work with business and delivery teams to turn challenges and requirements into clear, scoped AI use cases.
• Build proofs of concept. Design and build working prototypes quickly, test them with users, and take the strongest into production.
• Design solutions. Define the architecture for agentic and generative AI solutions, covering model choice, data, integration, security and cost.
• Engineer for production. Build reliable, observable and maintainable AI applications, and support them once live.
• Support and develop others. Coach CoE colleagues and interns, review code and designs, and run training sessions that raise AI skills across the business.
• Set standards. Contribute reusable patterns, tooling and guidance, and feed lessons back into the CoE's governance model.
• Stay current. Track new models, tools and techniques, test them, and bring forward those that earn a place in our work.
Requirements
Department: Business Support
Function: Information Technology
Experience Level: Mid-Senior Level