Senior AI Research Engineer

As a Senior AI Research Engineer at Pfizer, you will build machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.

You will own critical AI capabilities from architecture through production deployment, leading the design and delivery of end-to-end systems that directly enable scientific discovery.

Your work will support researchers tackling some of the toughest challenges in medicine, helping accelerate insights across discovery, development, and translational science.

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

Responsibilities include:

• Designing, developing, and deploying production-grade AI systems supporting multimodal biomedical models and intelligent agents
• Engineering data pipelines, retrieval systems, evaluation frameworks, knowledge systems, inference services, and human-in-the-loop workflows
• Creating scalable software that enables AI capabilities to move beyond experimentation and into everyday scientific use
• Translating scientific and business needs into technical solutions
• Leading architecture, implementation, testing, deployment, monitoring, and continuous improvement for your area of ownership
• Driving projects from concept through production and operational support

Requirements:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline with demonstrated experience building software, systems, or machine learning solutions; OR Master's degree with 2+ years of relevant experience; OR Bachelor's degree with 4+ years of relevant experience
• Demonstrated experience designing and delivering production software or machine learning systems
• Strong proficiency in Python software development, modern machine learning frameworks such as PyTorch or JAX, software architecture and system design, APIs, testing, debugging, version control, and technical documentation
• Depth in one or more of the following areas: distributed GPU training, model serving and inference optimization, AI platforms and MLOps, data and knowledge systems, LLM and agentic architectures, retrieval systems and RAG, AI evaluation frameworks, performance and infrastructure optimization

Benefits:

• Comprehensive and generous benefits and programs to help colleagues lead healthy lives and support each of life's moments
• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits including medical, prescription drug, dental and vision coverage