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Senior Research Lead, AI Security Portfolio
RAND Corporation is hiring for the role of Senior Research Lead, AI Security Portfolio, San Francisco, CA (On-site). This is an AI Governance role in the governance, risk, and compliance field, with a posted range of $167,300-$261,400. Review the full details below and apply directly with RAND Corporation.
RAND's Center on AI, Security, and Technology (CAST), part of the Global and Emerging Risks Division, seeks a technical and strategic leader as Senior Research Lead, AI Security Portfolio. CAST conducts cutting-edge research on transformative technologies including artificial intelligence to shape policies that protect global security and advance the public good. In this senior leadership role you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them. You will lead two major research teams of 15+ researchers spanning technical AI security research, cyber capability evaluation, and infrastructure development. You will define and drive RAND's research agenda on secure AI systems; lead complex cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis; mentor and manage senior technical staff across a portfolio of 15-30 people; translate technical findings into actionable insights for policymakers, regulators, and industry leaders; oversee development of AI-specific threat models, security architectures, and evaluation tools; and engage directly with senior government and industry stakeholders. Structured as a focused three-year appointment, renewable with options for longer-term employment. Required: technical experience in AI security, cybersecurity engineering, or adjacent emerging technologies; PhD (6+ yrs), Master's (9+ yrs) or Bachelor's (12+ yrs) relevant experience. Salary $167,300-$261,400.
Location and market context
This role is based in San Francisco on-site. Local candidates benefit from being close to RAND Corporation's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how RAND Corporation would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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