Senior AI Systems Engineer, Multimodal & Production

Pfizer; Pearl River (NY); Hybrid; USD 106,000 - 177,000; Full time

Job summary

Pfizer is seeking a Senior AI Research Engineer to build production-grade AI systems that accelerate scientific discovery. You will own end-to-end subsystems, influence architecture, and deliver scalable AI solutions for researchers across Pfizer.

You will work across AI, engineering, computational biology, and drug discovery, taking increasing technical ownership and mentorship responsibilities. Hybrid work model with strong collaboration.

Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related field with software/ML experience; OR
• Master's degree with 2+ years of relevant experience; OR
• Bachelor's degree with 4+ 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 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.
• Transform prototypes into reusable, reliable, maintainable systems.

Skills

Python

PyTorch

JAX

ML systems

APIs

Distributed training

MLOps

Data pipelines

System design

Code reviews

Education

PhD in Computer Science / Computer Engineering / Applied Math

Master's degree + 2+ years experience

Bachelor's degree + 4+ years experience

Tools

Docker

Kubernetes

CI/CD

Git

Job description

Pfizer is seeking a Senior AI Research Engineer to build production-grade AI systems that accelerate scientific discovery. You will own end-to-end subsystems, influence architecture, and deliver scalable AI solutions for researchers across Pfizer.

You will work across AI, engineering, computational biology, and drug discovery, taking increasing technical ownership and mentorship responsibilities. Hybrid work model with strong collaboration.