Leads Mastercard’s global AI Engineering organization, overseeing enterprise AI products, agentic AI solutions, reusable AI capabilities, and production deployments. Responsibilities include translating business needs into secure, scalable AI solutions; ensuring reliability, governance, compliance, privacy, and operational excellence; driving adoption and measurable outcomes; and partnering across technology, security, risk, product, and business teams. The role also develops global engineering leaders and builds a high-performing organization.

Architect and lead enterprise AI infrastructure supporting LLM training and inference, machine learning, agentic AI, and production platforms. Define technical standards for HPC, GPUs, Kubernetes, private and hybrid cloud, networking, storage, reliability, security, observability, and automation. Solve complex scalability and performance challenges, guide cross-functional initiatives, evaluate emerging technologies, mentor engineers, and embed governance, compliance, privacy, and responsible AI into secure, resilient infrastructure.