Help Build a New AI-Native Operating Model
At Pfizer, we're investing in the future of AI-enabled drug discovery.
This role is about more than using AI to improve existing ways of working. We are building a new operating model in which small, highly capable teams combine human expertise with AI to achieve outcomes and move at a pace that previously required much larger organizations.
We are looking for people who want to help invent and champion that model: individuals willing to rethink how work is organized, how problems are decomposed, what can be delegated to intelligent systems, and how humans and AI work together most effectively. Successful candidates will use AI not simply as a productivity tool, but as a means to fundamentally transform how scientific and technical work gets done—and will help others across R&D adopt these new ways of working.
Why This Role Is Different
Own Meaningful Problems
You'll own critical AI capabilities from architecture through production deployment. Rather than contributing to isolated components, you'll lead the design and delivery of end-to-end systems that directly enable scientific discovery.
Work Where AI Meets Real-World Impact
The systems you build will support researchers tackling some of the toughest challenges in medicine, helping accelerate insights across discovery, development, and translational science.
Operate at the Frontier of AI
You will work across technologies and domains including:
Large Language Models (LLMs)
Agentic AI Systems
Multimodal Learning
Scientific Machine Learning
Retrieval-Augmented Generation (RAG)
Knowledge Graphs
Distributed Training and Inference
AI Platforms and MLOps
AI Evaluation and Benchmarking
Accelerate Your Growth
You'll work alongside experts in AI, engineering, computational biology, and drug discovery while taking on increasing technical ownership and influence.
Build, Ship, Learn, Repeat
We value engineers who can move from ambiguity to execution, convert ideas into working systems, measure outcomes, and continuously improve based on real-world feedback.
The Opportunity
As a Senior AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.
You will:
Own an end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices
Help less-experienced engineers grow through collaboration, code reviews, and technical coaching
Success in this role requires strong engineering fundamentals, demonstrated experience delivering production systems, and the ability to operate effectively in an environment where science, technology, and business impact intersect.
What You'll Do
Build the AI Systems Behind Tomorrow's Scientific Breakthroughs
Design, develop, and deploy production-grade AI systems supporting multimodal biomedical models and intelligent agents
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
Own End-to-End Technical Delivery
Translate scientific and business needs into technical solutions
Lead architecture, implementation, testing, deployment, monitoring, and continuous improvement for your area of ownership
Drive projects from concept through production and operational support
Turn Research Into Impact
Partner closely with AI scientists, computational biologists, data engineers, and platform teams
Transform promising prototypes into reusable, reliable, and maintainable systems
Develop solutions with clear interfaces, measurable performance, and long-term sustainability
Make Thoughtful Engineering Tradeoffs
Balance performance,…