Principal Scientist / Associate Director, Agentic AI Research for Materials Science
Core
Lead the technical direction for autonomous agentic AI systems that plan, execute, and interpret materials science experiments, shifting research from human-paced to machine-paced iteration.
Role type
Principal Scientist / Associate Director, Agentic AI Research (Player-Coach)
Builds
End-to-end agentic frameworks, autonomous research workflows, and systems integrating with experimental infrastructure for materials science.
Domain
Materials Science + Agentic AI / Scientific Machine Learning
Deliverable
production ML models | product features
Required skills
Agentic system design, LLMs and reasoning models, multi-modal data processing, scientific ML pipelines, Python engineering, team leadership, cross-functional partnership
Preferred skills
Publications in agentic AI, materials data ontologies, workflow orchestration, HPC/cloud distributed compute
Technologies
LLMs, agentic frameworks, Python, cloud/HPC
Responsibilities
Define and execute the agentic AI roadmap for materials science; design agent system architectures grounded in scientific understanding; hire, mentor, and grow a cross-functional team; partner with diverse teams to deliver systems on real programs; track state-of-the-art research and publish/present findings.
Seniority
Principal, strategy & mentorship
