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 |
|---|---|---|
| Dir Tech Prod Mgmt Director of AI Fabric and Data Platforms responsible for leading the enterprise AI Services and Data Foundation capability, ensuring scalable, secure, and high-impact delivery of end-to-end AI services. Owns the full lifecycle of AI services and leads the evolution of a unified 'AI Agent Factory' platform to produce reusable AI agents that automate business workflows. Also responsible for Data Platforms strategy and execution. | AgentServe | 8 |
| IT Lead Automation Innovation Specialist This role focuses on developing and implementing automation software solutions, including AI/ML and generative AI algorithms, to streamline business processes. It involves designing, developing, testing, and deploying these solutions, capturing knowledge from experts, analyzing datasets, and researching emerging technologies in automation and AI. The specialist will collaborate with stakeholders to identify automation opportunities and provide training and support to end-users. |
| Agent |
| 7 |
| Senior Program Manager, R&D Senior Program Manager for Vision R&D programs at Johnson & Johnson, focusing on computer vision, imaging systems, and ML-based vision solutions. The role involves end-to-end leadership of global new product development, coordinating cross-functional teams, managing program execution, defining roadmaps, and ensuring compliance with quality, safety, and regulatory requirements in a regulated healthcare environment. Responsibilities include managing imaging hardware, optics, embedded software/firmware, and machine learning components, with a focus on data strategy, model training/validation, MLOps, and deployment. | AgentData | 7 |
| Senior Program Manager, R&D Senior Program Manager for Vision R&D programs at Johnson & Johnson, focusing on computer vision, imaging systems, and ML-based vision solutions. The role involves end-to-end leadership of global new product development, coordinating cross-functional teams, managing program execution, defining roadmaps, and ensuring compliance with quality, safety, and regulatory requirements in a regulated healthcare environment. Responsibilities include managing imaging hardware, optics, embedded software/firmware, and machine learning components, with a focus on data strategy, model training/validation, MLOps, and deployment. | AgentData | 7 |
| Data and Generative AI Engineer Data and Generative AI Engineer at Johnson & Johnson focused on designing, developing, and delivering Generative/Agentic AI solutions to accelerate End-to-End Data Pipeline Engineering. The role involves building agent workflows, prompt engineering, and integrating LLM APIs, while also handling data ingestion, transformation, and storage. Requires strong Python, software development, data engineering, and cloud skills, with familiarity in LLMs, RAG, and agentic architectures. | AgentData | 7 |
| 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 |
| Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply The Principal Data Scientist will design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities to support decision-making in Drug Product Development & Supply (DPDS), with a primary focus on Therapeutics Development & Supply (TDS). This role involves translating complex scientific and operational processes into practical decision intelligence capabilities, applying data science and operations research methods, and developing robust analytical workflows using Python and modern tooling. The candidate will partner with stakeholders, lead technical work, and mentor junior colleagues. | AgentData | 7 |
| Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply Seeking a Principal Data Scientist to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves translating complex processes into computational models, applying various quantitative methods, and developing robust analytical workflows using Python and cloud services, adhering to software engineering best practices. The individual will lead technical work, mentor junior colleagues, and partner with stakeholders to embed solutions into business planning and decision workflows. | Agent | 7 |
| Senior Director, Immunology Data & AI Systems Senior Director role leading a team to accelerate Immunology R&D by advancing data utility through AI. The role focuses on scaling the development of enterprise data products and deploying AI models and solutions, integrating various data assets (preclinical, translational, clinical, RWD) into the R&D data ecosystem. Responsibilities include defining roadmaps, partnering with data governance teams, developing and deploying AI solutions, and championing data literacy. | AgentData | 7 |
| Principal Data Scientist - Immunology - (2 positions) The Principal Data Scientist - Immunology will design and implement a scalable knowledge graph infrastructure to standardize and connect biomedical and clinical data for Immunology R&D. This role involves applying graph-based data modeling, curating ontologies, working with semantic web technologies, and enabling NLP/RAG over graphs to power analytics and AI across the organization. | Agent | 7 |
| Technology Manager – Customer Experience & Digital Contracting Technology Manager leading Global Customer Experience (CX) Digital Contracting capabilities in a highly regulated healthcare environment. This role has end-to-end accountability for technology strategy, architecture, engineering delivery, and operations across Digital Contracting and Customer Self-Service solutions. It involves driving applied AI/ML initiatives like Conversational AI, LLM/RAG, and agent frameworks, and operationalizing AI safely at scale. The role requires people leadership, strategic ownership, and hands-on technical engagement. | Agent | 7 |
| Manager, Insights Engineering & Innovation, Medical Affairs, Japan Manager leading insight analytics and AI-driven automation within Medical Affairs, focusing on GenAI, LLMs, NLP, and conversational AI. The role involves end-to-end lifecycle management of AI initiatives, from problem framing to deployment and monitoring, with a strong emphasis on operationalizing these capabilities in a regulated healthcare environment. Requires hands-on technical expertise in data engineering, ML/NLP, MLOps, and stakeholder management. | AgentPost-train | 7 |