Innovation, Data & Analytics Team, AI​/ML Engineer; Agentic Systems

ROLE SUMMARY

Own the orchestration layer and agent architecture behind the Innovation, Data & Analytics team's AI-based workflows, building and hardening agentic systems that translate analytical methodology into reliable production tools.

• Own orchestration frameworks and agent architecture for AI-based workflows
• Build and harden agentic workflows for production use
• Design prompt architecture and tool/API integrations across agentic systems
• Translate the Senior Data Scientist's methodology and evaluation criteria into deployed, production-grade agents
• Production Reliability & Collaboration Partner with the Data Engineer to ensure agents consume clean, well-structured data Partner with the Senior Data Analyst to ensure agentic workflows meet governance, audit, and compliance requirements Implement monitoring, evaluation, and cost controls for LLM-based systems in production Document agent architecture, prompt design, and tool integrations to support governance and audit needs Proactively identify opportunities to improve workflow reliability, latency, and cost

• Candidate demonstrates strong technical execution and the ability to operate independently in a fast-paced, regulated environment, partnering effectively across data science, data engineering, and governance functions.
• Degree in Computer Science, Software Engineering, Machine Learning, or a related field Experience (8+ years with Bachelor's; 7+ years with Master's) in software or ML engineering, notably in the healthcare/pharma sector
• Experience with agentic frameworks (e.g., Lang Graph, Pydantic AI, or similar) Strong software engineering background, including production system design and testing
• Experience integrating LLM APIs and exposure to MLOps practices (evaluation, monitoring, cost control) Healthcare data experience preferred Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, regulatory, and business audiences
• Technical:
  Anticipates Customer and Market Needs – Knows the industry and technology landscape; is dedicated to meeting the expectations of internal and external customers; always focused on patient safety first. Acts Decisively – Makes timely and effective engineering decisions; acts with urgency and removes barriers that hinder productivity. Builds Change-Agile Systems – Designs agentic systems that are flexible and adaptive to evolving business needs.
  
  Strategic and Innovative Thinking – Demonstrates insightful thinking by developing creative approaches to agentic system design. Is a role model of Pfizer's values and behaviors. Demonstrate ability to:
  Drive transformational change Engage diverse technical and business stakeholders Understand the applications of technology to the Life Science sector

Last Date to Apply for Job:
September 23rd, 2026. Locations: NYHQ or PA-Collegeville or MA-Cambridge or CT-Groton or Europe any Pfizer site or QC - Montreal NOT Eligible for Relocation Package Position is hybrid and will require to work 2 to 3 days per week on site #LI-PFE The annual base salary for this position ranges from $ to $. 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…