Staff Engineer, AI Infrastructure & MLOps

Job description

ROLE SUMMARY: The Staff Engineer, AI Infrastructure & MLOps Engineer is a senior hands-on technical leader responsible for architecting, building, and scaling Pfizer’s AI infrastructure and developer platforms. This role leverages extensive experience in cloud engineering, DevOps, and MLOps to deliver robust, high-performance solutions supporting advanced AI/ML workloads in biotechnology, healthcare, and enterprise technology. The successful candidate will drive innovation in automation, reliability, and scalability, enabling scientists and engineers to rapidly develop, deploy, and monitor machine learning models in production environments. ROLE RESPONSIBILITIES: Platform Architecture & Engineering: Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precision medicine. Architect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability. Lead the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets. Platform Catalog & Developer Experience: Design, implement, and manage unified platform catalogs using Backs...