teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements to maximise efficiencies across the software delivery lifecycle (SDLC). This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. … strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems Lead client engineering engagements at senior level — analyse the SDLC to identify AI/agentic opportunities and use cases, facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership ...