Director, Model – Agentic Learning

Overview

• At Johnson & Johnson Innovative Medicine, lead the AI science team that builds our enterprise world model and agentic-learning capability for the R&D agentic AI platform.
• Devise the approach, set the technical direction, and lead the team that delivers it.
• Design how agents represent accumulated domain understanding and reason against it, rather than re-deriving knowledge from raw sources on each task.
• Build mechanisms for the system to represent its own confidence, boundaries, gaps, and contradictions explicitly.
• Partner with scientists and domain experts so their expertise becomes something the system can apply consistently at scale.
• Define and prove the accountability bar: demonstrate that the system produces better decisions over time.
• Recruit, build, and lead a team of 4–8 AI scientists.

• Minimum 8 years of post-academic industry experience building and shipping AI/ML systems, with significant time owning technical architecture.
• Deep, hands-on expertise with modern AI systems: large language models, retrieval-augmented generation, agentic frameworks, and knowledge representation.
• Demonstrated track record designing systems where knowledge accumulation, memory, or continual learning was the central technical challenge.
• Experience designing systems that learn and improve from real-world operation and expert feedback (e.g., active learning, in-context / memory-based learning, outcome-driven refinement).
• Strong people leadership experience, including recruiting, building, and leading technical or scientific teams in a matrixed organization.
• Ability to set and defend a technical architecture and hold a team accountable to it.
• Excellent communication skills: able to align scientists, engineers, domain experts, and senior stakeholders around a technical strategy.

Demonstrates extensive expertise in building and shipping AI/ML systems, with a focus on large language models, agentic frameworks, and knowledge representation. Proven leadership in recruiting and managing technical teams while aligning diverse stakeholders around a cohesive technical strategy.