Agentic AI Lead – Protein Design & Molecular Engineering

Overview

Senior scientific and technical lead defining and driving AI-enabled workflows for protein engineering, structure prediction, molecular design, and related discovery.

What you'll do

• Define an AI-enabled roadmap for capabilities including protein engineering, structure prediction, and protein design.
• Design AI-assisted workflows that combine scientific reasoning, foundation models, protein language models, and structure prediction systems.
• Identify high-value opportunities where AI agents, scientific models, and automation can improve scientific workflows.
• Define agent responsibilities, decision pathways, tool integration patterns, and human oversight requirements.
• Provide scientific leadership by translating scientific challenges into AI opportunities and technical requirements.
• Guide adoption and evaluation of scientific AI technologies, including protein language models and structure prediction models.

What you'll need

• Deep expertise in one or more areas such as computational biology, protein engineering, structural biology, molecular modeling, or protein design.
• Strong understanding of foundation models and agentic AI systems.
• Strong understanding of scientific workflow automation.
• Ability to connect scientific objectives with AI capabilities and implementation strategies.
• Experience applying AI and machine learning to molecular or biological discovery problems (preferred).
• Demonstrated leadership in cross-functional scientific initiatives (preferred).

Details

• Location: India - Hyderabad.