Director, AI Solutions Expert—Agent Developer, AIA
About the position 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 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.
Responsibilities
- Lead the design, development, and deployment of AI agents
- Integrate multi-agent frameworks
- 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
- 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
- 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
- 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
Requirements
- 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.
Nice-to-haves
- 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.
Benefits
- 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
- 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
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