Agentic AI Lead – Protein Design & Molecular Engineering
Amgen · Hyderabad, India
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Role summary
Amgen seeks an Agentic AI Lead to drive AI-enabled workflows in protein engineering and molecular design. The role combines computational biology expertise with emerging AI technologies to identify scientific opportunities, design intelligent agent systems, and partner with ML teams on discovery acceleration. Success is measured by scientific team adoption, workflow improvements, and accelerated research outcomes.
What they're looking for
- PhD in computational biology, bioinformatics, structural biology, biophysics, protein engineering, or related field
- Deep expertise in computational biology, protein engineering, structural biology, or molecular modeling
- Strong understanding of foundation models, scientific AI, and agentic AI systems
- Experience applying AI and machine learning to molecular or biological discovery
- Demonstrated leadership in cross-functional scientific initiatives
- Ability to translate scientific challenges into AI opportunities and technical requirements
What you'll be doing
- Develop and maintain AI capability roadmap for protein engineering, structure prediction, and molecular design
- Design AI-assisted workflows combining scientific reasoning, foundation models, and computational biology tools
- Serve as primary scientific interface with research and computational biology teams on AI initiatives
- Guide adoption and evaluation of protein language models, structure prediction systems, and generative design approaches
- Partner with ML engineers and platform teams to build reusable agentic capabilities and multi-agent systems
Privacy & handoff
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