Director, AI Solutions Expert—Agent Developer, AIA

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

The annual base salary for this position ranges from $176,600.00 to $294,300.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% 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