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 |
|---|---|---|
| Design Leader, Polyphonic AI Lab Design Leader for a surgical data & AI platform (Polyphonic AI Lab) at Johnson & Johnson MedTech. This role will define and design the user experience and interface for a platform that manages multimodal surgical data and enables the development, deployment, and scaling of ML/AI models in regulated healthcare environments. The leader will partner with product management, engineers, data scientists, and clinicians to drive the platform's vision, roadmap, and delivery, focusing on human-centered design and integrating with a design system for AI/ML tooling. | ServeAgent | 7 |
| Director, MedTech Technology AI/DS Platforms, Innovation Director of AI/DS Platforms, Innovation for MedTech at Johnson & Johnson in Mumbai. This role focuses on building, delivering, and operationalizing a secure, compliant, and scalable AI platform and ecosystem to enable business units to deploy AI/DS solutions. Responsibilities include developing core AI/ML and Generative AI capabilities, ensuring regulatory compliance, driving standardization, managing platform financials, and leading a distributed team. Requires extensive IT experience in regulated industries, cloud platforms, data architectures, and leading large-scale transformation programs. |
| ServeAgent |
| 7 |
| Director, MedTech Technology AI/DS Platforms, Innovation Director of MedTech Technology AI/DS Platforms, Innovation at Johnson & Johnson. This role focuses on building, delivering, and operationalizing a secure, compliant, and scalable AI platform and AI product ecosystem for MedTech business units. It involves developing core AI/ML and Generative AI capabilities, ensuring alignment with healthcare regulations, and leading a distributed team. The role operates in a federated model, providing reusable capabilities and governance while business units own use cases. | ServePost-train | 7 |
| Data Scientist Software Engineer - Johnson & Johnson Surgery, Copenhagen Denmark Data Scientist Software Engineer role focused on developing AI and computer vision technologies for surgical visualization. Responsibilities include data collection, dataset preparation for AI/ML training, building deployment tools for training pipelines, and prototyping new features. The role involves working with advanced imaging program teams to drive breakthroughs in medical visualization. | ServeData | 7 |
| Principal Software Engineer - Tech Lead Principal Software Engineer - Tech Lead for a MedTech company's AI platform, focusing on building scalable APIs, SDKs, CLIs, and UIs to support surgical AI development. The role involves owning the platform as a product, building shared ML infrastructure (serving, registry, orchestrator, training/inference control planes), designing developer experiences, and optimizing performance, safety, and cost for training and inference. Requires strong system design, API design, and end-to-end ML lifecycle experience. | ServeData | 7 |
| Staff Engineer, AI/ ML/Surgical Robotics - OTTAVA Staff Engineer AI/ML for Digital Manufacturing at Johnson & Johnson, focusing on developing and deploying analytics and ML solutions for supply chain operations. The role involves leading end-to-end delivery of ML solutions, including data ingestion, feature engineering, model development, validation, deployment, and lifecycle management, with a strong emphasis on MLOps and adherence to regulated manufacturing standards. Key responsibilities include designing production-grade pipelines, real-time inference, and translating manufacturing challenges into measurable use cases. | ServeAgent | 7 |
| Manager, Reliability Engineering Manager, Reliability Engineer role at Johnson & Johnson focused on ensuring the availability, performance, security, and scalability of public-facing websites and AI-enabled features. This role combines Site Reliability Engineering (SRE), web engineering, SEO, and AI deployment/operationalization, emphasizing automation, observability, and product reliability. The candidate will own the reliability of digital websites and the infrastructure serving AI features, instrument and operationalize AI features, and mentor engineers on reliability best practices. | ServeAgent | 5 |
| Director, MedTech Technology Data Platforms Johnson & Johnson is seeking a Director, MedTech Technology Data Platforms to lead the strategy and execution of an enterprise-grade data platform. The role focuses on advancing data maturity, strengthening data quality and governance, and accelerating business-unit agility through a lean, federated operating model. Key responsibilities include defining the roadmap for a cloud-scale data platform, embedding AI and automation across the data lifecycle, scaling a data-as-a-product model, developing metadata capabilities, and implementing self-service access patterns. The role also involves co-leading the MedTech Data Office, driving federated governance, owning MDM strategy, and building/leading a distributed team. The ideal candidate will have 15+ years of IT leadership experience in regulated industries, with a strong track record in building and running enterprise-scale data platforms and embedding AI/ML and GenAI into platform services. | Serve | 5 |
| Lead Global Reliability Engineering Lead Global Reliability Engineering role at Johnson & Johnson, focusing on advancing predictive maintenance and AI/ML insights for equipment uptime and asset performance in regulated manufacturing environments. This role establishes global reliability strategy, leads the development and deployment of reliability technologies, and drives adoption of practical technologies to enhance equipment uptime and reduce downtime. It involves partnering with sites to identify risks, lead programs, build global standards, and collaborate with IT and maintenance teams. Requires 10-15+ years of experience in reliability engineering within regulated manufacturing, expertise in predictive maintenance and digital reliability tools, and familiarity with digital systems like CMMS. | Serve | 5 |
| Sr Mgr Network Automation & AI, Security This role focuses on enterprise-level ownership of network operations automation, data governance, AI-enabled capabilities, and network security platforms. The primary goal is to improve network reliability, reduce risk, increase efficiency, and accelerate insights through data, automation, and AI. It involves defining and executing roadmaps, leading cross-functional alignment, and providing technical governance for security platforms and managed services. A key aspect is establishing and maturing AI governance for network operations use cases and operationalizing data governance to support AI and automation. | Serve | 5 |
| Automation Engineer, Vision Systems Automation Engineer focused on integrating machine vision systems (Cognex, Keyence, Omron) with industrial automation and control platforms (PLCs, HMIs, SCADA) in a regulated healthcare manufacturing environment. Responsibilities include designing, implementing, and supporting these systems for inspection, measurement, and quality assurance, ensuring compliance with FDA/cGMP/CSV requirements. | Serve | 5 |
| Digital Solutions Software Team Leader Lead a Digital Solution (cloud solution) Software team, adopting and leading the team's adoption of cutting-edge AI-based development. Responsibilities include software development, management, and testing for cloud solutions, working with architects and managers, and providing technical leadership. Requires experience in AI-driven development and modern public cloud development. | Serve | 5 |
| Senior Manager – Network Operations Automation & AI, Security Senior Manager responsible for global network operations automation, AI-enabled capabilities, and critical network security platforms. The role focuses on improving network reliability, reducing risk, and increasing efficiency through automation, AI, and data governance. It involves defining roadmaps, establishing standards, leading cross-functional alignment, and managing vendors, with a strong emphasis on AI governance and operationalizing data for AI/automation use cases. | Serve | 5 |
| Sr. Manager, SC Deliver & Transport Senior Manager, Supply Chain Technology role at Johnson & Johnson (DePuy Synthes) focused on leading strategy, delivery, and lifecycle management of technology solutions for delivery, transportation, and logistics operations. The role involves partnering with stakeholders to translate business requirements into roadmaps, overseeing system enhancements, and importantly, leading the application of AI, advanced analytics, and automation to modernize supply chain platforms for improved forecasting, planning, and decision-making at scale. It also includes people management, vendor management, and ensuring technology supports service, cost, compliance, and risk objectives. | Serve | 5 |