Design, build, operate, and scale enterprise AI platforms across public and private clouds. Develop MLOps capabilities, CI/CD pipelines, infrastructure automation, observability, monitoring, governance, and AI deployment services. Support production machine learning and generative AI workloads, troubleshoot incidents, improve reliability and performance, collaborate with engineering, security, and governance teams, evaluate emerging technologies, and mentor peers.

Lead design, procurement, and scaling of on‑premise AI infrastructure (compute, storage, networking, accelerators). Act as product owner translating data science needs into enterprise platforms, run RFI/RFPs, partner with MLOps, security, and governance, and influence executive stakeholders to enable large‑scale training and low‑latency inference for generative and predictive AI.