Manager, AI Solutions Expert—agent Developer

Pfizer Pfizer · Pharma · New York, NY

Managerial role focused on designing, developing, and deploying AI agents for enterprise workflow automation, decision enhancement, and intelligent user interactions. Requires experience with multi-agent frameworks, RAG, vector databases, and LLM principles, with a focus on scalable, ethical, and high-performance systems.

What you'd actually do

  1. Develop Agentic AI Solutions for the Commercial Organization
  2. Contribute to cross-pod governance and represent the AI Accelerator in enterprise discussions.
  3. Support the development and implementation of scalable, efficient, and secure AI or data systems.
  4. Ensure system monitoring, observability, and proactive issue resolution.
  5. Partner with Business Translators, UI/UX, and Change Management teams to translate needs into deployable AI solutions.

Skills

Required

  • bachelor's degree with at least 4 years of experience; OR a master's degree with at least 2 years of experience; OR a PhD with 0+ years of experience; OR as associate's degree with 8 years of experience; OR a high school diploma (or equivalent) and 10 years of relevant experience
  • agentic orchestration frameworks (e.g. Langchain)
  • Vector databases (e.g. pinecone)
  • embedding models
  • RAG architecture
  • LLM principles
  • delivering enterprise-scale projects
  • agile methodologies
  • DevOps practices

Nice to have

  • Master’s degree in Computer Science, Engineering 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.

What the JD emphasized

  • agentic orchestration frameworks
  • Vector databases
  • RAG architecture
  • LLM principles
  • enterprise-scale projects
  • deploying AI or ML solutions in production environments

Other signals

  • Develop Agentic AI Solutions
  • integrating multi-agent frameworks
  • scalable, ethical, and high-performance agent-based systems
  • Experience with agentic orchestration frameworks
  • RAG architecture