Senior AI Infrastructure & Modernisation Lead

Google LLC; Greater London, Manchester; On-site; GBP 120,000 - 190,000; Full time

Job summary

Google Cloud's UKI Platform Practice is seeking a senior technical sales specialist to own the technical side of AI infrastructure opportunities in the UK and Ireland, sizing architectures, proving concepts, and guiding modernization. You will work with platform teams, CTOs, and customers to design scalable AI workloads on GKE and Compute Engine, including TPUs/GPUs and the serving stack.

You will build demos, run workshops, and create reusable assets with agentic tooling (Gemini, Antigravity,

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with AI accelerators (TPUs, GPUs) and the frameworks and serving stacks that run on them (e.g. PyTorch, JAX, vLLM, Ray).

Responsibilities

• 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.

Job description

Google Cloud's UKI Platform Practice is seeking a senior technical sales specialist to own the technical side of AI infrastructure opportunities in the UK and Ireland, sizing architectures, proving concepts, and guiding modernization. You will work with platform teams, CTOs, and customers to design scalable AI workloads on GKE and Compute Engine, including TPUs/GPUs and the serving stack.

You will build demos, run workshops, and create reusable assets with agentic tooling (Gemini, Antigravity,