Director of AI Engineering - Remote Opportunity

About the Role

We are seeking a Director of AI Engineering to lead AI-driven transformation across Vaccine R&D Operations. This remote Director of AI Engineering position focuses on applying AI automation and advanced analytics in process-intensive, highly regulated environments, spanning laboratory operations, development execution, quality systems, business processes, and external partner engagement.

What You'll Do

• Lead AI enablement of Vaccine R&D operations.
• Define and deliver AI solutions that support process-heavy lab and office workflows, including experiment tracking, documentation, handoffs, and operational reporting.
• Drive automation of manual and repetitive activities to improve speed, quality, consistency, and compliance across vaccine development.
• Develop predictive, optimization, and scenario-based models to support resource planning, capacity management, timeline forecasting, and risk trade-offs.
• Create dashboards and decision-support tools that translate complex operational data into actionable insights for R&D and leadership teams.
• Design AI solutions aligned with GxP expectations, data integrity standards, and inspection readiness.
• Establish governance models covering model validation, versioning, explainability, monitoring, and lifecycle management in regulated environments.
• Architect and deploy robust, production-ready ML and analytics pipelines with appropriate governance, reproducibility, and monitoring.

Requirements

• PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline with a minimum of 5 years of applied analytical experience, or a Master’s with a minimum of 7 years.
• Minimum 2 years of AI/ML experience in a relevant domain.
• Strong understanding of process-heavy environments, ideally within R&D, clinical operations, or large-scale regulated organizations.
• Expertise in predictive modeling, optimization, automation, generative AI, and ML system design.
• Strong programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).

Nice to Have

• Experience in life sciences, pharma, R&D, clinical operations, or other regulated industries.
• Financial and business experience supporting budgets, forecasting, vendor management, or portfolio analytics.

What We Offer

• Comprehensive benefits including a 401(k) plan with Pfizer Matching Contributions.
• Paid vacation, holiday and personal days, paid caregiver/parental and medical leave.
• Health benefits including medical, prescription drug, dental, and vision coverage.
• Relocation assistance may be available based on business needs and/or eligibility.
• Opportunity to work in a hybrid role requiring on-site presence 2.5 days per week.