Director of AI Engineering – Vaccine R&D Operations Enablement

Pfizer
Pfizer logo
Location
Pearl River, NY
Job Type
Full-time
Posted
May 10, 2026
Views
4
Salary Range
$177k - $294k USD

Job Description

Pfizer seeks a Director of AI Engineering to lead AI-driven transformation across Vaccine R&D Operations. You will focus 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.

Key Responsibilities

  • Define and deliver AI solutions supporting process-heavy lab and office workflows
  • Drive automation of manual and repetitive activities to improve speed, quality, and compliance
  • Develop predictive, optimization, and scenario-based models for resource planning and risk trade-offs
  • Design AI solutions aligned with GxP expectations, data integrity standards, and inspection readiness
  • Build AI-enabled capabilities for development planning, milestone tracking, and execution risk forecasting
  • Architect and deploy production-ready ML and analytics pipelines
  • Scale AI solutions in cloud and/or HPC environments
  • Mentor engineers and operational partners, raising AI and data literacy

Required Qualifications

  • PhD in Computer Science, ML, Data Science, AI, or related discipline with 5+ years applied experience, OR Master's with 7+ years
  • 2+ years AI/ML experience in a relevant domain
  • Strong understanding of process-heavy environments, ideally within R&D or regulated organizations
  • Expertise in predictive modeling, optimization, automation, generative AI, and ML system design
  • Strong Python and modern ML frameworks (PyTorch, TensorFlow)
  • Experience scaling models in cloud and/or HPC environments

Preferred: Life sciences, pharma, R&D, or clinical operations experience

Salary: $176,600 - $294,300 annually

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Job Information

Source: manual
Remote Type: hybrid
Experience: Director
Allowed Locations: Worldwide
Skills & Tags:
AI engineering machine learning vaccines R&D MLOps generative AI pharmaceutical automation GxP

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