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 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.
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. Director, MedTech Acceleration Office, Global Supply Chain Technology Sr. Director to lead an AI-first, end-to-end delivery model for $2B+ transformation programs within Global Supply Chain Technology. The role focuses on orchestrating workstreams, accelerating delivery, and maximizing business impact from AI and automation, establishing a unified delivery model, embedding AI-first principles, managing the AI automation roadmap, and ensuring enterprise adoption. It involves cross-functional coordination, strategic alignment, risk mitigation, and talent management for AI-ready competencies. | Agent | 7 |
| Director, MedTech Surgery Data Analytics & AI Director, MedTech Surgery Data & Analytics and AI at Johnson & Johnson will lead the data strategy, analytics outcomes, and AI enablement for MedTech Surgery. This role involves building and leading a team across data engineering, analytics, data product management, and applied AI/ML/GenAI. Key responsibilities include co-creating a multi-year Data & AI strategy, identifying high-impact use cases, positioning data as a strategic asset, ensuring governance and compliance, leading the AI/ML/GenAI solution lifecycle from pilot to scale, partnering on modern data architecture, and building high-performing teams. |
| AgentData |
| 7 |
| Senior Manager, MedTech Surgery Australia/New Zealand Senior Manager, MedTech Surgery Australia/New Zealand is a business strategist and product-minded technology leader responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for customers and patients. This role leads a business-facing technology organization, orchestrating JJT products, platforms, and services to maximize value for the MedTech portfolio. Key responsibilities include co-creating regional technology strategy, developing technology as a competitive advantage, serving as a strategic technology partner to senior leaders, and operationalizing AI/ML and GenAI across various use cases. The role also involves driving a disciplined product management approach, owning the business technology portfolio, leading and developing a team, and managing the regional technology budget while upholding compliance. | AgentData | 7 |
| Director, MedTech Surgery Data Analytics & AI Director-level role leading data strategy, analytics, and AI enablement for MedTech Surgery. Focuses on building and leading teams in data engineering, analytics, data product management, and applied AI/ML/GenAI. Key responsibilities include developing a multi-year Data & AI strategy, identifying high-impact use cases (e.g., commercial growth, demand sensing, intelligent service, computer vision for quality, workflow automation), positioning data as a strategic asset, ensuring governance and compliance, leading the AI/ML/GenAI model lifecycle from intake to monitoring, partnering on modern data stack architecture, and building high-performing teams. The role emphasizes turning data into trusted, compliant, and scalable products to improve decision-making and innovation. | 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 |
| Advanced Analytics Senior Engineer Seeking an Advanced Analytics Senior Engineer to design, develop, and deliver analytics solutions using advanced statistical analysis, data science, and AI-assisted approaches. The role involves working with complex data, applying GenAI and LLM-based methods, developing analytics workflows and AI-enabled solutions, creating visualizations, and collaborating with cross-functional partners to implement AI solutions. The role also supports teams in using AI tools and stays current with emerging technologies. | Agent | 7 |
| Principle Optimization Engineer This role focuses on designing and delivering optimization and simulation capabilities for complex supply chain problems, incorporating AI/ML techniques like Generative AI and Agentic AI. The engineer will craft algorithms, pilot solutions, and scale them across the enterprise, working closely with data scientists and engineers. The primary deliverable is an agentic system or optimization solution (L4), with a secondary focus on data engineering for these solutions (L0). | AgentData | 7 |
| Principle Optimization Engineer This Principal Optimization Engineer role focuses on designing, developing, and deploying optimization and simulation capabilities for complex supply chain problems. It involves crafting algorithms, piloting solutions, and scaling them across the enterprise. The role will incorporate AI/ML techniques, including Generative AI and Agentic AI, to enhance decision-support capabilities. Collaboration with data scientists, data engineers, and product management is key, as is driving innovation in supply chain methods. | AgentData | 7 |
| AI Engineering- Finance Lead the AI transformation of Finance within the SigniFi program, implementing an AI-enabled SDLC, accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms. Combines AI/ML expertise, SAP technical depth, and finance experience to translate strategy into scalable, enterprise-grade solutions. | AgentData | 7 |
| AI Engineering- Finance Lead the AI transformation of Finance within the SigniFi program, implementing an AI-enabled SDLC, accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms. This role requires a blend of AI/ML expertise, SAP technical depth, and finance experience to translate strategy into scalable, enterprise-grade solutions. | AgentData | 7 |
| Director, SC Plan & Inventory Optimize Director, SC Plan & Inventory Optimize role at Johnson & Johnson (DePuy Synthes) focuses on leading the technology strategy, design, and implementation of supply chain planning and inventory optimization solutions. This includes leveraging AI, advanced analytics, and automation to improve demand forecasting, planning accuracy, and decision-making across a global supply network. The role also involves managing a team, ensuring compliance, and driving digital transformation within a regulated medical technology environment. | AgentData | 7 |
| Data Science Intern Seeking a Data Science Intern to support analytics initiatives in machine learning, generative AI, and agentic AI solutions within the healthcare and patient support landscape. The intern will gain hands-on experience with real-world data, analytics tools, and cross-functional partners to develop insights, prototypes, and performance reporting. Responsibilities include data collection, cleaning, analysis, supporting ML/GenAI/agentic AI use case development, assisting with LLM/GenAI/AI agent experimentation, building dashboards, and translating findings into recommendations. Requires Python/R, SQL, and strong analytical skills. Preferred qualifications include exposure to Generative AI, LLMs, agentic AI concepts, and data visualization tools. | AgentPost-train | 7 |
| Lead, Technology Product Management – AI, Data & Insights Lead Technology Product Manager for AI, Data & Insights role blends technical product ownership with hands-on engineering, focusing on the delivery of scalable commercial solutions including AI that transform pharma operations. The role requires architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms, with fluency in data science, data engineering, and cloud technologies. | AgentData | 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 |
| Associate Director, Discovery Informatics Associate Director, Discovery Informatics role at Johnson & Johnson, leading a team to build next-generation scientific technology for drug discovery, focusing on peptide and small molecule discovery. Key deliverables include genAI design pipelines, virtual screening workflows, and applications for molecule design. The role involves defining a technical roadmap, ensuring delivery of tools for non-experts, and cross-functional partnership. Requires advanced degree, 8+ years of experience in life science informatics, strong coding (Python), database expertise, and understanding of drug discovery workflows. Preferred qualifications include ML in molecular design and familiarity with agentic systems. | AgentData | 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 |
| Senior Director, R&D Data Science & Digital Health – Ophthalmology Senior Director to lead data science and digital health strategy for ophthalmology, leveraging multiomics, digital health, AI/ML, and RWE to accelerate drug discovery and development. The role involves defining strategy, driving application of multiomics and integrative analytics, leading development of digital tools and endpoints, championing AI/ML for patient stratification and disease modeling, integrating RWE, building collaborations, and managing a team. | AgentData | 7 |