Director, AI Security

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Technology Enterprise Strategy & Security Job Sub Function: Security & Controls Job Category: People Leader All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America Job Description: Job Description: The Director, AI Security is a cybersecurity leader accountable for establishing and scaling enterprise AI security capabilities that reduce cybersecurity risk across Johnson & Johnson. Capabilities span LLM model and harness security (including lifecycle management), agent security (including non-human identity), end-user AI usage management, AI supply chain security, AI runtime protection, AI security assurance through the lifecycle, ongoing AI security observability and monitoring, and AI application security. The role is accountable for the security of enterprise AI platforms, commercial SaaS AI services, embedded AI capabilities in third-party products, open source models and components, internally developed AI solutions, and agent ecosystems, enabling the business to adopt AI securely while protecting sensitive information and critical operations within a regulated healthcare environment (including GxP/validated systems, HIPAA, and the EU AI Act). The Director, AI Security will lead a team accountable for addressing AI-related risks such as prompt injection, sensitive data exposure, excessive agent privileges, tool misuse, model and data poisoning, and compromised AI supply chains. This leader will validate AI control effectiveness through adversarial testing, work closely with the IAM team on agentic identity, and partner with Vulnerability Management and Application Security teams to drive timely remediation. The role also partners with Cyber Defense and GSO on threat detection and response, and with AI Governance, Privacy, Security and Technology Architecture, and Risk Management teams to ensure security controls are enabled across AI technologies through enterprise AI standards, onboarding processes, and operational guardrails. Those teams retain ownership of governance and architecture decisions. The role will also operationalize frontier AI and other advanced models to identify and prioritize cybersecurity exposures, accelerate investigation in partnership with Cyber Defense and GSO, and expedite remediation with appropriate safeguards and human validation. Success will be measured through expanded security coverage, effective protection of AI systems and models, faster risk identification and remediation, and demonstrable reduction in enterprise cybersecurity risk. Key Responsibilities: Be accountable for establishing and scaling the enterprise AI security capabilities, including LLM model and harness security (and lifecycle management), agent security (including non-human identity), end-user AI usage management, AI supply chain security, AI runtime protection, AI security assurance through the lifecycle, ongoing AI security observability and monitoring, and AI application security. Establish AI discovery capabilities to identify enterprise use of generative AI, AI applications, agents, and models across the full AI footprint, and prioritize gaps in security coverage. Establish end-user AI usage management, including access enforcement and data protection controls for generative AI use, to prevent unauthorized access and sensitive information exposure. Own AI agent identity and authorization security, including non-human identities, credentials, service accounts, and least-privilege permissions, working closely with the IAM team with a focus on agentic identity. Partner with key stakeholder teams to integrate security testing and protective controls throughout AI system development, deployment, and ongoing operation. Establish AI onboarding and assurance, including security evaluation of new AI capabilities before they enter production: security assessment of new models (and their ongoing management), agent security reviews, AI red-team guidance, supply chain assurance, and runtime monitoring requirements. Define security approval criteria for production deployment of AI models, agents, and applications, including emerging and frontier model capabilities. Implement model and AI supply chain security controls to detect and mitigate model and data poisoning, compromised components, and exposures affecting deployed models. Ensure continuous adversarial testing of models, AI applications, and agent workflows to identify prompt injection and other high-impact threats, validate defenses, and verify remediation. Integrate AI security telemetry and detections into security operations, and partner with Cyber Defense on AI-specific detection, triage, and incident response playbooks. Deploy frontier AI and other advanced models to identify and prioritize cybersecurity exposures, accelerate investigations in partnership with Cyber Defense and GSO, and expedite remediation with appropriate safeguards and human validation. Partner with AI Governance, Privacy, Security and Technology Architecture, and Risk Management teams to ensure security controls are enabled across AI technologies through enterprise AI standards, onboarding processes, and operational guardrails. Own AI security vendor relationships and budget, including vendor selection, performance management, and spend; maintain vendor strategy and capability rationalization. Partner with Vulnerability Management, Application Security, and business teams to drive timely remediation of AI-related exposures. Be accountable for enterprise AI security standards adoption, measurement of AI security control effectiveness, executive risk communication, and the AI security roadmap and investment planning in partnership with Security Architecture. Education: Bachelor's degree in Information Security, Computer Science, Engineering, Information Systems, or a related discipline, or equivalent experience. Advanced degree (MBA, MS, or equivalent) preferred. Required Experience and Skills: 12+ years of progressive experience in cybersecurity, application security, security engineering, or related disciplines, including leadership of enterprise security capabilities, plus recent hands-on experience securing AI-enabled systems. The 12+ years refers to overall cybersecurity experience, not AI-specific experience. Demonstrated experience implementing, operating, and scaling AI security capabilities across end-user generative AI services, AI applications, agents, and models, with measurable improvements in security coverage and risk reduction. Working understanding of AI and machine learning lifecycles, large language models, retrieval-augmented generation (RAG), model APIs, and agent tool integrations, including their security implications across development, deployment, and inference. Practical expertise in AI discovery, identity and access enforcement, least-privilege agent permissions, secrets protection, data loss prevention, and runtime safeguards, with demonstrated ability to assess and mitigate prompt injection, sensitive data exposure, excessive agency, tool misuse, insecure output handling, model