ROLE SUMMARY
The Head of Agent Product Management reports to the Head of Commercial Al Acceleration. This role is responsible for leading the strategy architecture and delivery governance for agent development within the AIA function. The position shapes how AI agents are designed built and scaled with the goal of enabling next-generation commercial capabilities across the organization.
ROLE RESPONSIBILITIES
Strategy & Architecture
Define the overall strategy and governance model for agent development including frameworks orchestration standards evaluation protocols and lifecycle management
Make key architectural decisions on orchestration frameworks (e.g. LangGraph AutoGen) agent registries and integration patterns ensuring scalability and alignment with AI Acceleration priorities
Partner closely with Digital & Technology engineering and products teams to maintain consistent architecture shared infrastructure and unified development standards
Build & Ship (Governance Level)
Oversee the design and rollout of core agent infrastructure including evaluation systems logging and observability platforms and prompt repositories in collaboration with cross-functional teams
Establish disciplined CI/CD and release management processes for agents with clear versioning rollback and deployment controls
Ensure agent solutions integrate effectively with enterprise data systems APIs and security layers aligned with information security and compliance standards
Quality & Evaluation
Define quality bars for agent performance reliability interpretability latency and safety ensuring consistent evaluation across use cases
Implement automated testing and regression frameworks to maintain agent quality and compliance over time
Drive transparent reporting and performance reviews to demonstrate business impact and adherence to responsible AI principles
Team & Culture
Build and lead a high-performing agent engineering function fostering technical excellence collaboration and a culture of reusable blueprints and rapid iteration
Set strong technical direction review design and architectural decisions and mentor senior developers and leads to raise the overall engineering bar
Promote continuous learning and experimentation to keep the team current on advances in agentic AI and orchestration technologies
Cross-Functional Impact
Collaborate with data product and business teams to identify and scale high-value agent opportunities across commercial domains
Maintain close feedback loops between users and development teams to shape roadmaps based on adoption performance and impact
Communicate technical decisions and trade-offs clearly to senior stakeholders connecting architectural choices to business outcomes
BASIC QUALIFICATIONS
15 years experience in tech and/or analytics with a BA/BS
Prior experience leading large matrixed global teams
Experience developing agentic AI systems including orchestration tool integration and autonomous workflows using frameworks like LangChain Semantic Kernel AutoGen Strands CrewAI and LangGraph.
Experience designing and implementing multi-agent systems including task delegation coordination and autonomous decision-making
Certifications: Azure AI Engineer Associate Azure Solutions Architect Expert; AWS Certified Machine Learning Specialty AWS Certified Solutions Architect Professional; Professional Machine Learning Engineer Professional Cloud Architect
Hands-on experience with LLMs including prompt engineering fine-tuning and Retrieval-Augmented Generation (RAG) architecture
Expertise in MLOps / AIOps covering monitoring governance lifecycle management CI/CD pipelines and cloud-native application development
Proficiency in API design microservices architecture and event-driven system development
Experience collaborating with offshore teams and distributed setups
PREFERRED QUALIFICATIONS
Masters degree
Prior experience applying AI solutions in regulated industries (e.g. healthcare finance life sciences)
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.
Other Job Details:
Work location: Flexible; 2-3 days onsite/week
Last Day to Apply: November 10 2025
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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Required Experience:
Exec
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