Director, World Model & Agentic Learning Job at Johnson & Johnson, La Jolla, CA

  • Johnson & Johnson
  • La Jolla, CA

Job Description

Johnson & Johnson seeks a Director to lead the AI science team building an enterprise world model and agentic learning capability for the R&D platform. The role involves designing how agents represent domain knowledge, enable continuous improvement from operation, and maintain expert authority while scaling scientific judgment.

Responsibilities

  • Design knowledge representation and reasoning mechanisms for enterprise world model
  • Establish technical direction for agentic learning systems that improve from operational use
  • Lead AI science team developing reusable, customizable foundation for R&D agentic AI platform
  • Partner with domain experts to encode their judgment consistently at scale
  • Define evaluation frameworks proving system produces better decisions over time

Requirements

  • Leadership experience building and scaling AI/ML science teams
  • Expertise in knowledge representation, reasoning systems, or semantic technologies
  • Experience designing learning systems that improve from operational feedback
  • Strong background in machine learning, AI systems, or computational sciences
  • Demonstrated ability to partner with domain experts and translate their judgment into systems
  • Track record defining and implementing accountability frameworks for AI systems

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