Senior AI Systems Engineer for Biomedical Discovery

Pfizer; New York (NY); Hybrid; USD 139,000 - 232,000; Full time

Job summary

Pfizer is hiring a Senior Principal AI Research Engineer to build machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer. This intermediate-level role combines deep technical ownership with collaboration across AI, engineering, biology, and drug discovery.

You’ll contribute to architecture, deployment, monitoring, and continuous improvement, delivering production-ready AI solutions and systems that accelerate

Qualifications

• PhD with demonstrated experience building software, systems, or ML solutions; 2+ years of relevant experience; OR
• Master’s degree with 5+ years of relevant experience; OR
• Bachelor’s degree with 6+ years of relevant experience.

Responsibilities

• 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.
• 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.
• Partner with AI scientists, computational biologists, data engineers, and platform teams.
• Transform prototypes into reusable, reliable, maintainable systems.
• Develop solutions with clear interfaces, measurable performance, and long-term sustainability.
• Balance performance, scalability, cost, reliability, security, privacy, maintainability, and speed of delivery.
• Apply sound engineering judgment when evaluating technical approaches and system architecture decisions.
• Strengthen model evaluation, observability, reproducibility, lineage, security, and operational resilience.
• Implement practices that support responsible and trustworthy AI deployment.
• Contribute to architecture reviews, code reviews, engineering standards, and reusable patterns.
• Troubleshoot complex problems and improve engineering quality across the organization.
• Provide guidance and mentorship to less-experienced engineers.
• Define success metrics and operational indicators.
• Continuously improve performance, reliability, usability, and scientific impact.
• Help teams adopt AI with confidence and scale.

Skills

Python

ML frameworks

APIs & dev tools

Cloud/ distributed

MLOps

Education

PhD in CS/CE/Applied Math

Master's degree

Bachelor's degree

Tools

PyTorch

JAX

Docker

Kubernetes

Git

Job description

Pfizer is hiring a Senior Principal AI Research Engineer to build machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer. This intermediate-level role combines deep technical ownership with collaboration across AI, engineering, biology, and drug discovery.

You’ll contribute to architecture, deployment, monitoring, and continuous improvement, delivering production-ready AI solutions and systems that accelerate