Agentic AI Systems Engineer - Production ML Orchestration

Pfizer; Cambridge (MA); Hybrid; USD 163,000 - 272,000; Full time

Job summary

Pfizer is seeking an experienced engineer to own the orchestration layer and agent architecture behind AI-driven workflows. You will build and harden agentic systems that translate analytical methods into reliable production tools, collaborating with data and governance teams to ensure quality and compliance.

The role requires deep software/ML engineering expertise, strong experience with agentic frameworks, LLM APIs, and MLOps practices, plus a track record in a regulated healthcare

Qualifications

• 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., LangGraph, 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 regulatory contexts.

Responsibilities

• 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 into deployed agents.
• Partner with Data Engineer to ensure data quality for agents.
• Implement monitoring, evaluation, and cost controls for production LLM systems.
• Document agent architecture, prompt design, and tool integrations for governance.

Skills

Agentic frameworks

Production systems

LLM APIs

Software engineering

Education

BSc CS/SE/ML

Tools

LangGraph

Pydantic AI

Job description

Pfizer is seeking an experienced engineer to own the orchestration layer and agent architecture behind AI-driven workflows. You will build and harden agentic systems that translate analytical methods into reliable production tools, collaborating with data and governance teams to ensure quality and compliance.

The role requires deep software/ML engineering expertise, strong experience with agentic frameworks, LLM APIs, and MLOps practices, plus a track record in a regulated healthcare