Job description

ROLE SUMMARY The Director, AI Engineering & Platforms reports directly to the AI Strategy & Realization Lead within PGS Data, Analytics & AI Transformation and is responsible for the the AI model strategy, costing, platform, and coding standards that AI application use cases are built on across the AI Strategy & Realization team and the broader Data, Analytics & AI Transformation organization, leading a dedicated engineering bench that ships and scales AI applications across PGS. This individual establishes rigorous model evaluation and vetting practices, assessing candidate AI models against performance, cost, safety, and Responsible AI criteria before they are cleared for use, and defines costing models fit for purpose for AI use cases and standards so PGS can make sound build, buy, and model-selection decisions. The role keeps PGS s technical direction aligned with the enterprise by partnering with Digital on engineering standards and AI models, including active participation in the Data Readiness and AI Engineering guilds. Working in close step with the AI Product, Innovation & Emerging Technology tower and the AI Capabilities & Enablement tower, this leader carries use cases from prototype to MVP and beyond, and partners with Digital to scale larger, more complex programs once they ve proven their value. Leading a team, this role builds the engineering foundation that turns PGS s AI ambitions into reality. ROLE RESPONSIBILITIES Define and own the model strategy, costing, platform, and coding standards that govern how AI application use cases are built across the AI Strategy & Realization team and the broader Data, Analytics & AI Transformation organization. Lead a specialized AI engineering team that ships and scales AI application use cases where appropriate, holding delivery to a consistent, production-grade technical bar. Establish AI model framework evaluation and vetting processes, assessing candidate models against performance, cost, safety, and Responsible AI criteria before they are approved for use across PGS. Define costing models fit for purpose for AI use cases and standards, giving PGS leaders a consistent, defensible basis for build, buy, and model-selection decisions. Partner with Digital on engineering standards and AI models, including active participation in the Data Readiness and AI Engineering guilds, to keep PGS s technical approach aligned with enterprise direction. Drive collaboration with the AI Product, Innovation & Emerging Technology tower and the AI Capabilities & Enablement tower to carry use cases from prototype to MVP and beyond. Partner with Digital to scale larger, complex programs once use cases have proven their value, ensuring a clean handoff to enterprise-scale platforms and support models. Lead, develop, and grow a team, including performance management, coaching, and career development, while building an inclusive, high-performing engineering culture. Establish engineering health and quality metrics covering model performance, cost efficiency, and reliability. BASIC QUALIFICATIONS 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. Demonstrated significant experience leading AI/ML engineering teams, including setting technical architecture, coding, and delivery standards for production-grade AI applications. Proven success building and running model evaluation, vetting, or validation processes, assessing AI models against performance, cost, safety, and responsible AI criteria. Demonstrated experience developing costing models and frameworks for technology or AI initiatives that inform build, buy, and model-selection decisions. People leadership experience managing engineering teams of meaningful scale, including hiring, coaching, and performance management. Demonstrated ability to partner effectively with enterprise Digital/technology organizations, including guild or standards-body participation, to align technical direction across a large, matrixed organization. Excellent stakeholder management and communication skills, with the ability to translate technical standards into clear guidance for both engineering and business audiences. PREFERRED QUALIFICATIONS Strong Pfizer colleague network, particularly across PGS, Digital, and Data, Analytics & AI Transformation engineering teams. Experience leading an enterprise engineering guild (e.g., Data Readiness, AI Engineering) or similar standards body. Hands-on experience with modern AI/ML tooling, model evaluation frameworks, and MLOps practices. Experience in pharmaceutical manufacturing or supply chain operations, with an understanding of GxP considerations relevant to AI engineering. Proven program management capability, with experience successfully executing initiatives across large, globally distributed engineering teams. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Ability to travel domestically and internationally up to 10% of the year. Willingness to work off-hours to accommodate global time zones and support engineering and platform teams across sites. Willingness to work extended or non-standard hours during peak periods, such as major model evaluation cycles, platform launches, or program-scaling milestones. ORGANIZATIONAL RELATIONSHIPS PGS AI Strategy & Realization Team & Data, Analytics & AI Transformation org. Digital engineering, platform, and architecture teams, including the Data Readiness and AI Engineering guilds. PGS Portfolio and Finance partners supporting costing model development. External AI model and platform vendors, as appropriate. OTHER INFORMATION Last Date to Apply: October 28, 2026 The annual base salary for this position ranges from $189,200.00 to $315,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 22.5% 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. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. 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. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . Information & Business Tech

Requirements

Must-haves

Lead a specialized AI engineering team that ships and scales AI application use cases where appropriate, holding delivery to a consistent, production-grade technical bar.
Establish AI model framework evaluation and vetting processes, assessing candidate models against performance, cost, safety, and Responsible AI criteria before they are approved for use across PGS.
Define costing models fit for purpose for AI use cases and standards, giving PGS leaders a consistent, defensible basis for build, buy, and model-selection decisions.
Partner with Digital on engineering standards and AI models, including active participation in the Data Readiness and AI Engineering guilds, to keep PGS s technical approach aligned with enterprise direction.
Drive collaboration with the AI Product, Innovation & Emerging Technology tower and the AI Capabilities & Enablement tower to carry use cases from prototype to MVP and beyond.
Partner with Digital to scale larger, complex programs once use cases have proven their value, ensuring a clean handoff to enterprise-scale platforms and support models.
Lead, develop, and grow a team, including performance management, coaching, and career development, while building an inclusive, high-performing engineering culture.
Establish engineering health and quality metrics covering model performance, cost efficiency, and reliability.
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.
Demonstrated significant experience leading AI/ML engineering teams, including setting technical architecture, coding, and delivery standards for production-grade AI applications.
Proven success building and running model evaluation, vetting, or validation processes, assessing AI models against performance, cost, safety, and responsible AI criteria.
Demonstrated experience developing costing models and frameworks for technology or AI initiatives that inform build, buy, and model-selection decisions.
People leadership experience managing engineering teams of meaningful scale, including hiring, coaching, and performance management.
Demonstrated ability to partner effectively with enterprise Digital/technology organizations, including guild or standards-body participation, to align technical direction across a large, matrixed organization.
Excellent stakeholder management and communication skills, with the ability to translate technical standards into clear guidance for both engineering and business audiences.

Nice-to-haves

Strong Pfizer colleague network, particularly across PGS, Digital, and Data, Analytics & AI Transformation engineering teams.
Experience leading an enterprise engineering guild (e.g., Data Readiness, AI Engineering) or similar standards body.
Hands-on experience with modern AI/ML tooling, model evaluation frameworks, and MLOps practices.
Experience in pharmaceutical manufacturing or supply chain operations, with an understanding of GxP considerations relevant to AI engineering.
Proven program management capability, with experience successfully executing initiatives across large, globally distributed engineering teams.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Ability to travel domestically and internationally up to 10% of the year.
Willingness to work off-hours to accommodate global time zones and support engineering and platform teams across sites.
Willingness to work extended or non-standard hours during peak periods, such as major model evaluation cycles, platform launches, or program-scaling milestones.

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Benefits

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Dental

Vision

401(K)