Define the multi-year architectural outlook and technical strategy for how AI and Infrastructure Research and Development incubates, prototypes and productionizes agent platforms, inference efficiency, and AI systems infrastructure. Drive inference optimization through simulation-driven infrastructure modeling, acceleration, and hardware-software co-design. Architect shared evaluation harnesses, developer frameworks, multi-tenant standards, and safety rails to lead the AI-native engineering transformation across the organization.
Partner with DeepMind research and modeling teams to align frontier model requirements with next-generation AI and Cloud infrastructure. Lead end-to-end incubation programs, steering experimental systems through rigorous benchmarking, production hardening, and multi-tenant operational deployment.
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