Define and evolve the target architecture and roadmap for enterprise‑scale Data and AI platforms, covering experimentation, training, feature management, model registry, CI/CD, serving, and observability.
Design and build multi‑tenant, multi‑region, highly available AI platforms with clear governance and guardrails.
Partner with product management to define platform vision, backlogs, OKRs, and golden paths that enable self‑service from ideation to production.
Lead capacity planning and cost optimization strategies for GPU and CPU workloads, driving performance and scalability for distributed training and inference.
Integrate AI platforms with enterprise data ecosystems to enable governed, reproducible, and scalable ML pipelines.
Act as a technical leader, translating complex platform concepts into clear value propositions for senior stakeholders across R...