Director, World Model – Agentic Learning

Johnson & Johnson

Director for AI science leading the development of enterprise world model & agentic-learning capabilities. Focused on continual learning and expert collaboration in healthcare innovation at Johnson & Johnson.

Posted 7/12/2026full-timeCalifornia, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $164,000 - $282,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in building and shipping AI/ML systems, with a focus on knowledge representation, continual learning, and technical architecture. Proven leadership in guiding teams to develop agentic AI capabilities and aligning diverse stakeholders around strategic technical goals.

Highest-signal resume keywords

AI/ML Systems DevelopmentKnowledge RepresentationTechnical Architecture OwnershipPeople LeadershipActive Learning Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language ModelsRetrieval-Augmented GenerationAgentic FrameworksMemory-Based LearningOutcome-Driven Refinement

Soft Skills

Excellent CommunicationTeam Leadership

Industry Keywords

AI ScienceAgentic AIDomain UnderstandingTechnical DirectionKnowledge Accumulation

About the role

Key responsibilities & impact

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 and reason against accumulated domain understanding, rather than re-deriving knowledge.
Build mechanisms for the system to represent its own confidence, boundaries, gaps, and contradictions explicitly.
Ensure knowledge earned in one domain or workflow compounds and surfaces wherever else it is relevant.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program.
Time off benefits: Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
10 days Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year