Innovation, Data & Analytics Team, AI/ML Engineer (Agentic Systems)

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Pfizer is seeking a lead for AI-based workflows within its Data & Analytics team to design and deploy agent orchestration and architecture for reliable production tools.

You will collaborate with Data Engineering and Data Analysis teams, ensure data quality and governance, and drive cost monitoring while developing scalable, robust AI systems.

Qualifications

• Bachelor’s degree in CS/SE or related field.
• 8+ years in software or ML engineering, pharma exposure preferred.
• Strong production system design, MLOps, and API integration background.

Responsibilities

• Design and harden agentic systems and prompt architectures.
• Integrate tools and APIs; partner with Data Engineering and Data Analysis teams for data quality and governance.

Skills

Production system design

MLOps

API integration

LangGraph

Education

Bachelor's in Computer Science / Software Engineering

Tools

LangGraph

Job description

Role: Lead the development and deployment of AI-based workflows within Pfizer's Data & Analytics team, focusing on agent orchestration and architecture to translate analytical methodologies into reliable production tools.

Responsibilities

• design and harden agentic systems, develop prompt architectures, integrate tools and APIs, partner with Data Engineering and Data Analysis teams to ensure data quality, governance compliance, and cost monitoring
• document system architecture and identify improvements for reliability and efficiency.

Qualifications

• Bachelor's in Computer Science, Software Engineering, or related field
• 8+ years of software or ML engineering experience, with healthcare/pharma sector exposure preferred
• strong background in production system design, MLOps, and API integration
• experience with agent frameworks (e.g., LangGraph)

HighValue

healthcare data, AI workflows, LLM API integration, regulated environment, hybrid work setup (NY, PA, MA, CT, Europe, Montreal), hybrid onsite 2-3 days/week.

The role emphasizes strategic thinking, cross-functional collaboration, and operational independence.