Senior Principal AI Systems Engineer — End-to-End Research

Pfizer Inc; Bothell (WA); Hybrid; USD 139,000 - 232,000; Full time

Job summary

Pfizer is seeking a Senior Principal AI Research Engineer to build machine learning systems that transform models into secure, reliable, and scalable capabilities for scientists across Pfizer. This is an intermediate-level engineering role with significant technical ownership.

You will own end-to-end subsystems, drive architectural decisions, and deliver production-quality AI solutions while collaborating with AI scientists, computational biologists, and platform teams to advance discovery and

Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics with demonstrated software or ML solution experience; 2+ years if PhD.
• Master’s degree with 5+ years of relevant experience or Bachelor’s with 6+ years of relevant experience.

Responsibilities

• Design and deliver production software or ML systems from architecture through deployment.
• Own end-to-end technical delivery and platform capabilities.
• Lead architecture decisions and software quality across projects.
• Collaborate with AI scientists, computational biologists, data engineers, and platform teams.
• Build reusable, scalable, and maintainable AI systems with clear interfaces.

Skills

Python

PyTorch

JAX

APIs

CI/CD

Containers

Distributed GPU training

MLOps

Data systems

RAG

Education

PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics

Master’s degree in a related field

Bachelor’s degree with 6+ years of relevant experience

Tools

Python

PyTorch

JAX

Docker

Kubernetes

Job description

Pfizer is seeking a Senior Principal AI Research Engineer to build machine learning systems that transform models into secure, reliable, and scalable capabilities for scientists across Pfizer. This is an intermediate-level engineering role with significant technical ownership.

You will own end-to-end subsystems, drive architectural decisions, and deliver production-quality AI solutions while collaborating with AI scientists, computational biologists, and platform teams to advance discovery and