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. 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 |
| 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 |
| Director, Data Science - DDSAI - Therapeutics Discovery Director of Data Science to lead the design, development, and deployment of Autonomous Learning and Closed-Loop Optimization capabilities across the Therapeutics Discovery organization. This role integrates lab data, computational models, and MLOps infrastructure into a learning loop to inform experiments, analyze data, and aid molecule synthesis. It aims to create self-improving discovery systems, ranging from human-in-the-loop decision support to fully closed-loop experimental optimization, by applying AI, optimization, and automation concepts. | AgentData | 8 |
| Senior Director, Data, Advanced Analytics & AI – Innovative Medicine (EMEA) Senior Director to define and execute an AI-first, product-centric data strategy for Innovative Medicine in EMEA, leading end-to-end data, advanced analytics, and AI capabilities, ensuring responsible and high-impact deployment at scale. This includes defining the roadmap, leading ML/AI/Generative AI solutions, ensuring explainability and compliance in regulated environments, building data ecosystems, and leading cross-functional teams. | AgentData | 8 |
| Data Scientist- Clinical Decision Support- LLMs Seeking an experienced Data Scientist to develop next-generation clinical decision support solutions using LLMs and machine learning. Responsibilities include prompt engineering, evaluation frameworks, cloud infrastructure for LLMs, RAG optimization, and developing ML models for clinical data. The role operates within a regulated SaMD environment and requires collaboration with cross-functional teams. | AgentData | 8 |
| Director, MedTech Technology AI Orchestration and Enablement Director of MedTech Technology AI Orchestration and Enablement responsible for the vision, roadmap, and delivery of an enterprise AI enablement and orchestration platform. This platform will standardize model deployment, multi-model/agent orchestration, and production MLOps across cloud and edge, enforcing governance and security guardrails, and driving business impact through automated, agentic workflows. The role owns a significant P&L and stewards AI orchestration for a large business transformation. | AgentServe | 8 |
| VP, Data & Digital Quality VP of Data & Digital Quality accountable for architecting and executing the digital and data strategy to reimagine Quality through advanced analytics, AI/ML, agentic orchestration, and next-generation risk sensing capabilities. This role accelerates the transformation from reactive compliance to predictive, intelligence-driven Quality, leveraging enterprise data, automation, and digital products to improve risk visibility, strengthen decision-making, and enhance patient safety. The role shapes the long-term digital quality vision, drives the global roadmap, and ensures high-quality delivery of platforms, predictive models, emerging technologies, and compliance systems. | AgentData | 8 |
| Director, MedTech Surgery Data Analytics & AI Director-level role leading data strategy, analytics, and AI enablement for MedTech Surgery. The role involves building and leading a team responsible for data engineering, analytics, data product management, and applied AI/ML/GenAI. Key responsibilities include co-creating a multi-year Data & AI strategy, positioning data as a strategic asset, ensuring governance and compliance, leading the AI/ML/GenAI lifecycle from pilot to scale, partnering on modern data architecture, and developing high-performing teams. The role focuses on turning data into trusted, compliant, and scalable products to improve decision-making and innovation. | AgentData | 8 |
| Senior Machine Learning Engineer - Robotics Senior Machine Learning Engineer focused on applying learning-based manipulation to improve surgical robotics performance and safety. The role involves designing models, implementing algorithms, and deploying ML-trained behaviors from research to real-world hardware, with responsibilities including mentoring and elevating team technical capabilities. Key tasks involve developing ML algorithms for task automation, building data pipelines, leveraging simulation for training and sim-to-real transfer, defining performance metrics, collaborating on deployment, and optimizing models for real-time performance. | AgentServe | 8 |
| Principal AI Lead – Surgical AI Principal AI Lead for the Polyphonic® Applied AI and ML team, focusing on building and deploying surgical AI models and agents. The role involves owning the full ML lifecycle, from research and development to scalable deployment, and creating platforms and user experiences for data scientists and developers. Key responsibilities include standardizing AI development pipelines, developing modular intelligence components, selecting and deploying various model families (CNN, transformer, LLM/VLM), integrating models with product functionality, optimizing inference, and bringing product judgment to MLOps platform development. | 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 |
| Director, Clinical Imaging, Translational Sciences-Immunology Director of Clinical Imaging for Translational Sciences-Immunology at Johnson & Johnson. This role focuses on developing and validating imaging-derived endpoints for the Immunology portfolio, with a primary focus on GI diseases. It involves leading the imaging measurement strategy, providing scientific oversight for imaging endpoints in clinical trials, and driving innovation by integrating AI-enabled analytics for imaging and digital endpoints. The goal is to translate emerging methods into scalable, pragmatic clinical solutions that support portfolio objectives and regulatory decision-making. | AgentServe | 7 |
| Manager, Data Science - Global Finance Manager, Data Science role focused on developing and deploying end-to-end Generative AI solutions within Global Finance at Johnson & Johnson. This role involves applying AI/ML to enhance analytics, build production-ready applications, and integrate insights into Finance and Compliance workflows at enterprise scale. Responsibilities include data preparation, modeling, prompt engineering, workflow automation, and ensuring solutions meet enterprise requirements for scalability, security, and maintainability. Experience with cloud platforms (AWS/Azure) and building AI-enabled systems for multi-step workflows is required. | AgentServe | 7 |
| Senior Manager, Agentic AI The Sr. Manager, Agentic AI role is responsible for building and scaling agentic AI capabilities to improve the experience and productivity of CLOUDx customers and engineers. This leader will define the product and engineering roadmap, lead a team of engineers, and partner with stakeholders to deliver production-grade agentic solutions using platforms like Amazon Bedrock, with a focus on security, governance, and human-in-the-loop controls for enterprise cloud operations. | Agent | 7 |
| Senior Director, Knowledge Management & Retrieval Strategy Senior leader to define and scale R&D knowledge and retrieval capabilities that power GenAI experiences across R&D. This role leads the Knowledge Management team, focusing on Knowledge Graph, Ontology, and semantic layer design and engineering to enable AI-ready enterprise knowledge. It operates at the intersection of AI/ML, data products, data platforms, and scientific workflows, ensuring GenAI systems can reliably retrieve, reason over, and synthesize information. The role defines retrieval architectures for agentic AI systems and user-facing applications, harmonizes data interfaces, and ensures scalable, governed access to R&D knowledge assets. Requires technical depth and organizational navigation. | AgentData | 7 |
| AI Enabled CSV Analyst This role focuses on driving AI-enabled process improvements and intelligent automation within Computer Systems Validation (CSV) processes. The analyst will identify and validate AI use cases, build prototypes, and ensure the quality and governance of AI-generated outputs and agents. Key responsibilities include designing and implementing AI solutions, collaborating with data science and engineering teams, and ensuring compliance with responsible AI guidelines in a regulated environment. The role requires experience deploying LLMs and AI agents, understanding prompt engineering, model evaluation, RAG, and agentic workflows, with a strong emphasis on compliance and risk management. | AgentEval Gate | 7 |
| AI Enabled Analytics Analyst This role focuses on defining and implementing AI solutions within Quality and Compliance processes in the healthcare domain. It involves translating business needs into use cases, designing AI solutions for automation and decision support, collaborating with data science and engineering teams, and establishing evaluation criteria and benchmarks for AI outputs and agent behaviors. The role also emphasizes prompt design, guardrails, and ensuring alignment with responsible AI and regulatory guidelines. | AgentEval Gate | 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 |
| 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 |
| 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 |