Innovation, Data & Analytics Team, AI/ML Engineer (Agentic Systems)

Role: Lead development of AI-driven agentic systems for Pfizer's Data & Analytics team, focusing on building reliable, production-grade workflows that translate analytical methods into scalable tools. Responsibilities: design and optimize orchestration frameworks, integrate APIs, and ensure system robustness and compliance; collaborate with data engineering and analytics teams to maintain data quality, governance, and cost control; document architecture for audit purposes; proactively improve workflow efficiency. Requirements: 8+ years in software or ML engineering (Bachelor's) or 7+ years with Master's, with experience in healthcare or pharma sectors, agentic frameworks, production system design, and MLOps; strong programming skills and healthcare data familiarity preferred. High-Value: AI systems in regulated biopharma environment, hybrid work model (NYHQ, PA, MA, CT, Europe, Montreal), with a focus on transforms within data science workflows, emphasizing compliance, auditability, and operational excellence.