Senior AI Leader

The Senior AI Leader will own PSI's AI research agenda, leading the design of foundation-model and reinforcement-learning systems that reason about simulations, generate hypotheses, and verify new physics. This is a hands-on senior individual-contributor role with roughly a 60:40 split between research/engineering and people leadership/strategy, ideal for someone from a frontier lab who has shipped AI-for-Science work and now wants to build and scale their own AI organization. Most importantly, PSI is looking for senior AI leaders who want to: build and train frontier-grade models and agents for scientific discovery; work deeply across physics, AI, and large-scale simulation environments; and recruit, mentor, and manage a world-class AI team in a mission-driven, early-stage environment.

Key Responsibilities

• Set and drive the AI research roadmap across foundation models, reinforcement learning, and agentic systems for physics discovery.

• Contribute directly to core research: architect models, design training schemes, and prototype new agent behaviors in close collaboration with physicists and engineers.

• Design training infrastructure and evaluation frameworks that let AI systems discover, test, and validate physics results at scale.

• Recruit, hire, and manage AI researchers and engineers, building a high‑bar, collaborative research culture.

• Define processes for project selection, experimentation, code review, and cross‑team collaboration with physics and platform groups.

• Serve as the internal thought leader on AI, guiding technical trade‑offs, priorities, and long‑term architecture decisions.

• Selectively represent PSI’s AI vision to key external stakeholders (e.g., advisors, investors, limited conferences) where useful, without requiring a heavy “public persona.”

• Work with founders and leadership to align AI strategy with company milestones, security constraints, and long‑term scientific objectives