Director, AI Engineering – Platforms

Pfizer

. Define and own AI model strategy, costing, platform, and coding standards across the AI Strategy & Realization team and broader Data, Analytics & AI Transformation organization .

Posted 10/21/2026full-timeUnited StatesLead💰 $189,200 - $315,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Model Strategy, Engineering Team Leadership, and Model Evaluation Frameworks, with a strong focus on performance, cost efficiency, and Responsible AI criteria. Proven ability to collaborate across Digital and AI teams to drive production-grade AI applications from prototype to MVP.

Highest-signal resume keywords

AI/ML Engineering Team LeadershipModel Evaluation FrameworksCosting Models DevelopmentStakeholder ManagementProgram Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model StrategyProduction-Grade AI ApplicationsModel Evaluation ProcessesCosting ModelsTechnical ArchitectureMLOps PracticesPerformance ManagementCoding StandardsAI Engineering StandardsData Readiness

Soft Skills

CoachingCommunication SkillsPerformance ManagementCollaborationStakeholder Engagement

Tools & Technologies

AI/ML ToolingModel Evaluation FrameworksEngineering StandardsDigital PlatformsData Analytics Tools

Industry Keywords

Pharmaceutical ManufacturingSupply Chain OperationsGxP ConsiderationsAI EngineeringData, Analytics & AI Transformation

About the role

Key responsibilities & impact

Define and own AI model strategy, costing, platform, and coding standards across the AI Strategy & Realization team and broader Data, Analytics & AI Transformation organization
Lead a specialized AI engineering team shipping and scaling production-grade AI application use cases
Establish model framework evaluation and vetting processes covering performance, cost, safety, and Responsible AI criteria
Define fit-for-purpose costing models supporting build, buy, and model-selection decisions
Partner with Digital on engineering standards and AI models, including participation in Data Readiness and AI Engineering guilds
Collaborate with AI Product, Innovation & Emerging Technology and AI Capabilities & Enablement teams to take use cases from prototype to MVP and beyond
Partner with Digital to scale larger programs after use cases prove their value
Lead, develop, and grow the engineering team through performance management, coaching, and career development
Establish engineering health and quality metrics for model performance, cost efficiency, and reliability
Report to the AI Strategy & Realization Lead within PGS Data, Analytics & AI Transformation

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with at least 8 years of relevant experience; OR a master's degree with at least 7 years of experience
Significant experience leading AI/ML engineering teams, including setting technical architecture, coding, and delivery standards for production-grade AI applications
Experience building and running model evaluation, vetting, or validation processes against performance, cost, safety, and responsible AI criteria
Experience developing costing models and frameworks for technology or AI initiatives informing build, buy, and model-selection decisions
People leadership experience managing engineering teams, including hiring, coaching, and performance management
Ability to partner with enterprise Digital/technology organizations, including guild or standards-body participation
Excellent stakeholder management and communication skills
Strong Pfizer colleague network, particularly across PGS, Digital, and Data, Analytics & AI Transformation engineering teams (preferred)
Experience leading an enterprise engineering guild or similar standards body (preferred)
Hands-on experience with modern AI/ML tooling, model evaluation frameworks, and MLOps practices (preferred)
Experience in pharmaceutical manufacturing or supply chain operations and understanding of GxP considerations relevant to AI engineering (preferred)
Program management capability across large, globally distributed engineering teams (preferred)
Ability to travel domestically and internationally up to 10% of the year
Willingness to work off-hours across global time zones and extended or non-standard hours during peak periods
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available now or in the future
Requires permanent work authorization in the United States

Benefits

Comp & perks

Pfizer Global Performance Plan with a bonus target of 22.5% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility