About The Position

The Agent Developer, Senior Manager will participate in 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 partner cross-functionally and focus on integrating multi-agent frameworks and ensuring scalable, ethical, and high-performance agent-based systems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 6+ 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.
  • Candidates must be authorized to be employed in the U.S. by any employer.
  • This position requires permanent work authorization in the United States.

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.
  • 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

  • Leads the technical direction for assigned AI initiatives.
  • Collaborate with product, data, and engineering teams to align AI priorities with business outcomes.
  • Contribute to cross-pod governance and represent the AI Accelerator in enterprise discussions.
  • Support the development and implementation of scalable, efficient, and secure AI or data systems.
  • Participate in the development of automation workflows and APIs that integrate with Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery.
  • Ensure code quality, testing, and maintainability through best development practices.
  • Supports development of KPIs and success metrics f for key deliverables.
  • Oversee and manage 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.
  • Participate in the evaluation of new technologies and frameworks that enhance automation or predictive insights.
  • Drive innovation through participation in hackathons, proof-of-concepts, and partnerships with vendors.
  • Promote a culture of responsible AI, ethics, and compliance.

Benefits

  • 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
  • health benefits to include medical, prescription drug, dental and vision coverage
  • Relocation assistance may be available based on business needs and/or eligibility.
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