Head of World Model & Agentic Learning AI

Johnson & Johnson Innovative Medicine

Spring House (PA)

Hybrid

USD 164,000 - 283,000

Full time

12 days ago

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Benefits offered by this job

Vacation – 120 hours/year
Flexible hybrid work

Job summary

Johnson & Johnson Innovative Medicine is recruiting a Director, World Model & Agentic Learning to lead the AI science team within the Data, Data Science & AI organization. You will set the technical direction for enterprise world models and agentic-learning capabilities powering the R&D platform.

You will recruit 4–8 AI scientists, partner with scientists and domain experts, and ensure decisions are auditable, accountable, and continuously improved from real-world operation.

Qualifications

  • Minimum 8 years of post-academic industry experience building and shipping AI/ML systems.
  • Hands-on expertise with LLMs, retrieval-augmented generation, and agentic frameworks.
  • Experience designing systems with learning from real-world operation and expert feedback.
  • Strong leadership and ability to manage cross-functional teams.

Responsibilities

  • Design the knowledge accumulation and continual learning architecture for enterprise AI.
  • Lead a team of AI scientists to deliver world model and agentic-learning capabilities.
  • Partner with domain experts and platform teams to scale the solution across workflows.
  • Ensure auditable, accountable decision-making and robust evaluation.

Skills

AI system design
Leadership
Architectural design
Communication skills

Education

PhD in CS/AI (preferred)

Job description

Johnson & Johnson Innovative Medicine is recruiting a Director, World Model & Agentic Learning to lead the AI science team within the Data, Data Science & AI organization. You will set the technical direction for enterprise world models and agentic-learning capabilities powering the R&D platform.

You will recruit 4–8 AI scientists, partner with scientists and domain experts, and ensure decisions are auditable, accountable, and continuously improved from real-world operation.

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