Director, AI Solutions Expert—Agent Developer, AIA
- North America - Any Pfizer Site
- United States - Pennsylvania - Collegeville
- United States - New York - New York City
ROLE SUMMARY
The Agent Developer will lead the design, development, and deployment of AI agents that automate workflows, enhance decision-making, and enable intelligent user interactions across the enterprise. This role will focus on integrating multi-agent frameworks and ensuring scalable, ethical, and high-performance agent-based systems.
Strategic Leadership
- Define, plan, and lead the technical direction for assigned AI initiatives.
- Collaborate with product, data, and engineering teams to align AI priorities with business outcomes.
- Mentor junior engineers and ensure knowledge sharing across the team.
- Contribute to cross-pod governance and represent the AI Accelerator in enterprise discussions.
Design & Development
- Architect and implement scalable, efficient, and secure AI or data systems.
- Drive the development of automation workflows and APIs that integrate with business tools.
- Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery.
- Ensure code quality, testing, and maintainability through best development practices.
Operational Excellence
- Develop KPIs and success metrics for team deliverables.
- Oversee documentation, sprint planning, and backlog prioritization in agile environments.
- Ensure system monitoring, observability, and proactive issue resolution.
- Continuously optimize performance and cost efficiency of AI systems.
Collaboration & Innovation
- Partner with Business Translators, UI/UX, and Change Management teams to translate needs into deployable AI solutions.
- Evaluate new technologies and frameworks that enhance automation or predictive insights.
- Drive innovation through hackathons, proof-of-concepts, and partnerships with vendors.
- Promote a culture of responsible AI, ethics, and compliance.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 8+ years of relevant experience in AI, software, or data development.
- Experience with agentic orchestration frameworks (e.g. Langchain), Vector databases (e.g. pinecone), embedding models, RAG architecture, and LLM principles.
- Proven leadership in managing technical teams and delivering enterprise-scale projects.
- Strong knowledge of agile methodologies and DevOps practices.
Preferred Qualifications:
- Master’s degree or PhD in Computer Science, Data Science, or related field.
- Experience in pharmaceutical or healthcare technology environments.
- Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.
- Demonstrated success in deploying AI or ML solutions in production environments.
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: June 18, 2026
Work Location Assignment: Hybrid
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.

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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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