Senior AI Research Engineer — Multimodal Systems Leader

Pfizer; Bothell (WA); Hybrid; USD 106,000 - 177,000; Full time

Benefits offered by this job

401(k) with Pfizer Matching

Health benefits

Relocation assistance

Paid vacation & holidays

Job summary

Pfizer is seeking a Senior AI Research Engineer to design, build, and deploy end-to-end AI systems that empower scientists across our R&D organization. You will lead architecture decisions, own subsystems, and deliver production-quality software integrating multimodal models and intelligent agents.

You will collaborate with AI scientists, computational biologists, data engineers, and platform teams to transform prototypes into scalable, reliable solutions with measurable scientific impact.

Qualifications

• Designing and delivering production software or ML systems.
• Owning technical solutions from architecture through deployment.
• Building reliable systems in cloud, distributed computing, or HPC environments.
• Developing maintainable, testable, and scalable software.

Responsibilities

• Design, develop, and deploy production-grade AI systems.
• Engineer data pipelines, retrieval systems, evaluation frameworks, knowledge systems, inference services, and human-in-the-loop workflows.
• Create scalable software that enables AI capabilities to move beyond experimentation and into everyday scientific use.

Skills

Python software development

AI systems design

Cross-disciplinary collaboration

Education

PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related field

Master's degree + 2 years of experience

Bachelor's degree + 4 years of experience

Tools

PyTorch

JAX

APIs

Docker

Kubernetes

Job description

Pfizer is seeking a Senior AI Research Engineer to design, build, and deploy end-to-end AI systems that empower scientists across our R&D organization. You will lead architecture decisions, own subsystems, and deliver production-quality software integrating multimodal models and intelligent agents.

You will collaborate with AI scientists, computational biologists, data engineers, and platform teams to transform prototypes into scalable, reliable solutions with measurable scientific impact.