Own the technical side of AI infrastructure opportunities in UKI: qualify the workload, design and size the architecture, prove it, and stay close through to ramp. Help customers choose between, and get the most out of, TPUs and GPUs on GKE and Compute Engine, including scheduling, capacity and consumption options (reservations, Dynamic Workload Scheduler, Spot) and the serving stack on top. Guide customers through assessments of their existing environments and produce a prioritised roadmap for modernisation and migration to Google Cloud.
Work directly with product management and engineering to get customer blockers removed, and bring field evidence into roadmap conversations. Build and run demos, workshops and proofs-of-concept, using agentic tooling as a matter of course, and contribute what you build back as reusable assets for the UKI and SSA field.
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