The Director of AI Engineering leads AI transformation in Vaccine R&D Operations by designing solutions for process automation decision support and model governance. Responsibilities include developing predictive models optimizing workflows and building production-grade AI platforms while collaborating across teams.

POSITION SUMMARY
We are seeking to identify 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.
Embedded within Vaccines R&D you'll partner with scientific development quality informatics finance and operational leaders to translate real‑world operational complexity into scalable production‑grade AI systems that improve execution speed decision quality compliance readiness and overall R&D experience.
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.

Strengthen operational decision-making

• Develop predictive optimization and scenario-based models to support resource planning capacity management timeline forecasting and risk trade-offs.
• Develop dashboards and decision-support tools that translate complex operational data into actionable insights for R&D and leadership teams.

Enable regulated inspection-ready AI systems

• Design AI solutions aligned with GxP expectations data integrity standards and inspection readiness supporting deviation monitoring CAPA trending documentation completeness data genealogy and audit preparedness.

• Establish governance models covering model validation versioning explainability monitoring and lifecycle management in regulated environments.

Optimize development planning execution

• Build AI‑enabled capabilities for development planning milestone tracking dependency management and execution risk forecasting across the vaccine development lifecycle
• Lead process optimization and reengineering initiatives using AI automation and data-driven methods to simplify workflows and reduce cycle times.

Engineer and scale production-grade AI platforms

• Architect and deploy robust production-ready ML and analytics pipelines with appropriate governance reproducibility and monitoring.
• Scale AI solutions in cloud and/or High-Performance Computing environments ensuring reliability security and seamless integration with existing R&D financial and operational systems.

Partner and lead across disciplines

• Act as a strategic bridge between technical teams and scientific operational quality and business stakeholders to ensure adoption and measurable value.
• Mentor engineers and operational partners raising AI and data literacy across vaccine R&D.
• Champion best practices in MLOps software engineering and AI system lifecycle management.

What you'll bring
Basic Qualifications:

• PhD in Computer Science Machine Learning Data Science Software Engineering AI or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations automation business analytics or decision support OR
• Master's in Computer Science Machine Learning Data Science Software Engineering AI or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations automation business analytics or decision support
• 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) plus experience scaling models in cloud and/or HPC environments.
• Experience collaborating across scientific operational quality and business teams translating complex needs into practical AI solutions.
• Clear communication skills

Preferred Qualifications:

• 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.

Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.
The annual base salary for this position ranges from $176600.00 to $294300.00. In addition this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
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EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race color religion sex sexual orientation age gender identity or gender expression national origin disability or veteran status. Pfizer also complies with all applicable national state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
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