10 hours ago
Manchester, United Kingdom or London, United KingdomStaff+
Responsibilities
- Own the technical side of AI infrastructure opportunities in the UKI region, including workload qualification, architecture design and sizing, proof, and production ramp-up.
- Advise customers on TPU and GPU selection and operation on GKE and Compute Engine, including scheduling, capacity, reservations, Dynamic Workload Scheduler, Spot, and serving stacks.
- Assess existing customer environments and create prioritized modernization and migration roadmaps for Google Cloud.
- Partner with product management and engineering to remove customer blockers and bring field feedback into product roadmaps.
- Build and run demos, workshops, and proofs of concept using agentic tooling, and contribute reusable assets to the field.
Requirements
- Bachelor's degree or equivalent practical experience.
- At least 10 years of experience with cloud-native architecture in customer-facing pre-sales roles.
- Experience presenting to and engaging technical stakeholders and executive leaders.
- Experience with AI accelerators including TPUs and GPUs and the frameworks and serving stacks that run on them, such as PyTorch, JAX, vLLM, and Ray.
- Preferred experience designing, sizing, and operating large-scale AI training or inference environments, including accelerator selection, cluster topology, storage, networking, and capacity planning.
- Preferred experience running AI workloads on Kubernetes, including scheduling, autoscaling, node pool and compute class design, inference gateways, and multi-host serving.
- Preferred experience using agentic tools such as Gemini, Antigravity, ADK, or equivalents in day-to-day engineering.
- Preferred experience with hyperscaler security, identity, and networking fundamentals, including encryption, IAM, VPCs, load balancing, and firewalls.
- Preferred experience building and maintaining customer relationships and knowledge of enterprise infrastructure modernization, VMware estates, backup and disaster recovery, and cloud migration.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.