Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Leads Pfizer’s global Product & Delivery practitioner community, overseeing governance, engagement, capability-building programs, learning pathways, events, knowledge management, and maturity measurement. Builds alignment across a complex matrixed organization, influences senior leaders, advances product, delivery, CX, Agile, and AI-enabled practices, and leads a small team and distributed community network. Owns enterprise programming, adoption, impact metrics, and organizational change through storytelling, executive presence, and practitioner advocacy.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.