Own the strategy, roadmap, service model, and investment priorities for an enterprise AI runtime and agentic platform. Productize GPU compute, Kubernetes, model serving, inference, agent orchestration, lifecycle management, APIs, observability, and developer self-service across private, public, and hybrid clouds. Partner with engineering, cloud, security, governance, architecture, and compliance leaders to improve platform reliability, utilization, adoption, cost efficiency, and developer experience. Influence senior stakeholders and translate complex infrastructure capabilities into consumable enterprise services.