Senior Research Lead - AI Security Portfolio

RAND•San Francisco, CA

6d•Hybrid

About The Position

RAND’s Center on AI, Security, and Technology (CAST) , part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead – AI Security Portfolio. CAST conducts cutting-edge research on transformative, high-impact technologies—including artificial intelligence and biotechnology—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 report to CAST Founding Director, Sella Nevo , and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND’s broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities. This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact.

Requirements

Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields.
Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets.
Proven experience designing and delivering complex projects from concept through completion.
Deep understanding of AI threat models , system vulnerabilities, and cyber capability evaluation.
Strong ability to communicate complex technical issues to senior non-technical stakeholders.
Familiarity with U.S. cybersecurity policy processes and agencies.
Excellent written and verbal communication skills.
PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience.
OR Master’s degree in the fields listed above with 9+ years of professional experience, is required.
OR Bachelor’s degree in the fields listed above with 12+ years of professional experience, is required.
Either a writing sample or a code sample is required for this position.

Nice To Haves

Background in leadership at frontier AI labs, startups, or hyper-scalers
Background in AI or cybersecurity R&D, red team operations, or advanced persistent threat (APT) defense.
Experience developing or overseeing secure infrastructure for AI model training and deployment.
Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow).
Experience working in or with government on AI or cybersecurity policy.
Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program.
Master’s or PhD preferred.
Ability to obtain and maintain a U.S. government clearance is preferred but not required.

Responsibilities

Define and drive RAND’s research agenda on secure AI systems, establishing priorities across multiple teams and programs.
Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis.
Mentor and manage senior technical staff, project leaders, and researchers 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 that assess cyber risks and resilience.
Engage directly with senior government and industry stakeholders to ensure RAND’s research informs decisions at the highest levels.
Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels.