AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
About the role
- Director of AI Engineering developing AI systems for drug discovery at Pfizer. Collaborating with scientists to leverage AI in transforming R&D through innovative medicines and therapies.
Responsibilities
- Build AI that directly shapes R&D decisions
- Design, develop, and scale production-grade AI systems in drug discovery and development programs
- Own foundational and predictive modeling end-to-end
- Advance generative AI for drug design
- Engineer elegant, reliable ML systems
- Automate and standardize the entire lifecycle of ML systems
- Decode high-dimensional biology
- Influence portfolio and strategy decisions
- Stay at the frontier of emerging AI methods
- Raise AI fluency across the organization
- Represent the science externally
Requirements
- PhD or Master’s in Computer Science, Machine Learning, Computational Biology, Software Engineering, AI, or a related discipline.
- 2–5 years of applied AI/ML experience.
- Experience in life sciences preferred, but not required (pharma, biotech, or health tech).
- A working understanding of R&D workflows is preferred but not required.
- Comfort operating across disciplines—chemistry, biology, pharmacology, statistics.
- Demonstrated expertise in predictive modeling, generative AI, and ML system design.
- Strong programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
- Proven ability to collaborate with other scientists.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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