PharmSci Agentic and Generative AI Architect
Pfizer
This listing was originally posted on Pfizer's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Upgrade to Pro — $25/moROLE SUMMARY:
The PharmSci Agentic & Generative AI Architect is a hands‑on technical leader responsible for designing, building, and scaling agentic and generative AI solutions in support of Pharmaceutical Sciences initiatives. This role translates Big Ideas into production‑ready AI systems, applying strong engineering discipline, scalable architecture, and responsible AI practices.
The role operates as a senior individual contributor with broad technical influence, partnering closely with scientific and product leads while maintaining accountability for technical design and execution.
ROLE RESPONSIBILITIES:
Agentic & Generative AI Architecture
Design and implement agentic AI systems capable of multi‑step reasoning, tool use, and autonomous task execution.
Architect enterprise‑grade GenAI solutions, including RAG pipelines, embedding strategies, orchestration layers, and evaluation frameworks.
Delivery & Technical Execution
Lead PoCs and pilots and scale successful solutions into production‑ready capabilities.
Establish reusable architectural patterns, reference implementations, and technical standards for GenAI and agentic systems.
Ensure solutions meet expectations for reliability, observability, performance, and cost effectiveness.
Integration & Enablement
Integrate AI solutions with existing platforms, data sources, and workflows to support adoption.
Partner with science and product leads to translate requirements into robust technical designs and delivery milestones.
Mentor team developers and contribute to raising overall GenAI and agentic AI maturity.
Responsible AI Implementation
Embed governance, security, evaluation, and monitoring considerations into solution design and deployment.
Support sustainable operation through appropriate lifecycle and maintenance practices.
BASIC QUALIFICATIONS:
Degree in Computer Science, Software Engineering, AI/ML, or equivalent applied experience required and with 6+ years (Bachelor’s), 5+ years (Master’s), or 1+ year (PhD) of relevant experience.
Significant hands‑on experience building production software and applied AI systems.
Deep experience with GenAI, RAG architectures, and agentic workflow design.
Strong programming skills (e.g., Python) and modern AI engineering practices.
PREFERRED QUALIFICATIONS:
Experience operating in regulated or process‑heavy environments.
Track record of delivering reusable platforms, accelerators, or reference architectures.
Ability to communicate complex technical concepts clearly to non‑technical partners.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS:
This role operates within a globally distributed team across multiple time zones, including the United States and India. As such, periodic flexibility in work hours is required to enable effective collaboration, including occasional meetings outside of standard local business hours.
Limited travel is expected to support in-person collaboration and key project milestones, typically a few times per year.
ADDITIONAL DETAILS:
Last date to apply is June 12, 2026
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.
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.
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