Johnson & Johnson currently has 73 active AI-related job listings. The majority of these roles, specifically 44%, are in the agents stage. Engineering is the most frequent function for these hires, followed by Product. The company is primarily hiring in the United States. Frequent tech tags include agent_orchestration and model_serving, suggesting a focus on AI system deployment and management. In the last 30 days, Johnson & Johnson posted 104 new AI roles, representing a significant increase of 420% compared to the previous 30-day period.
Currently tracking 49 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $77k–$283k (avg $144k).
Johnson & Johnson currently has 62 active AI-related roles in our index. The most common open titles are: Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply (4), Data Scientist and Application Developer (2), Lead-Data Automation and Excellence (2), Postdoctoral Data Analytics Computational Sciences (2), Senior Program Manager, R&D (2). Most positions are in Engineering and Product.
Johnson & Johnson's active AI hiring is concentrated in: agents (40%), application (19%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Johnson & Johnson is hiring AI talent in: United States (38 roles), Spain (7 roles), Belgium (5 roles), Japan (4 roles).
Job postings at Johnson & Johnson most frequently reference: agent orchestration, model serving, llm observability, fine tuning, rag.
In the past 30 days, Johnson & Johnson has posted 69 new AI-related roles. That is a -37% change versus the prior 30 days (109 → 69).
| Title | Stage | AI score |
|---|---|---|
| Sr. Manager - AI Solutions Lead Senior Manager, AI Solutions Lead at Johnson & Johnson, responsible for building and scaling production-grade full-stack GenAI solutions with a focus on backend systems, data, and AI/ML engineering. The role involves co-owning problem discovery with business leaders, leading end-to-end delivery of GenAI/ML products, setting engineering standards, and driving platform thinking. Key responsibilities include developing agentic GenAI applications, implementing LLMOps, ensuring enterprise standards for quality and compliance, and providing hands-on leadership across the SDLC. | AgentServe | 8 |
| Senior Data Scientist Senior Data Scientist role focused on building and operationalizing predictive and prescriptive models for intelligent HR workflows at global scale. The role involves creating model-driven solutions for both humans and machines, embedding intelligence into products and processes, and ensuring models are deployed, monitored, and continuously improved in production. Emphasis on responsible AI, explainability, and integrating models into automated or augmented decision workflows. |
| Agent |
| 7 |
| Sr. Manager, MedTech Technology Surgery, Southeast Asia and India Senior Manager role focused on shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for the MedTech Surgery business in Southeast Asia and India. The role involves leading a business-facing technology organization, partnering with senior leaders, and operationalizing AI/ML and GenAI across various use cases, grounded in data governance and security. It also emphasizes driving a product management approach and developing compliant technology. | Agent | 7 |