Director of AI Security Research

We are looking for a Director of AI Security Research to lead and scale RLGym’s AI security research efforts.

This role requires deep, hands-on experience in AI red teaming, LLM security, GenAI, and agentic AI, combined with the ability to build and lead research teams, define strategy, and turn security research into scalable products and protections.

What you'll be doing

• Lead and scale teams across AI security research, AI red teaming, adversarial research, and guardrails engineering.
• Define the AI security research strategy, roadmap, and priorities.
• Lead advanced adversarial testing of LLMs, GenAI applications, agents, and multi-agent systems.
• Research attack techniques including prompt injection, jailbreaks, tool abuse, data leakage, model misuse, and agent manipulation.
• Build and evolve automated AI red-teaming platforms, including RLGym.
• Define and operationalize frameworks aligned with OWASP AI Security, MITRE ATLAS, and NIST AI RMF.
• Partner with product and engineering teams to build guardrails, monitoring, detection, and secure AI deployment practices.
• Drive secure architectures for agentic AI, including MCP and A2A workflows.
• Represent the company through research, industry collaboration, publications, and thought leadership.

What we need to see

• Proven experience leading and scaling AI security research, technical security, or R&D teams.
• Deep hands-on expertise in AI security, AI red teaming, adversarial ML, and LLM vulnerabilities.
• Experience building and running large-scale adversarial testing or AI security evaluation programs.
• Strong understanding of GenAI and agentic AI security risks.
• Ability to combine strategic leadership with deep technical execution.
• Strong communication and cross-functional collaboration with product, engineering, and executive teams.
• 8+ years of relevant experience in cybersecurity, AI/ML security, security research, or related fields.

Ways to stand out

• Published research or speaking experience at conferences such as Black Hat, DEF CON, or OWASP Global AppSec.
• Experience building AI security products, red-team automation platforms, guardrails, or AI monitoring systems.
• Hands-on experience with LangChain, AutoGen, MCP, A2A, and agentic AI architectures.
• Background in AI trust and safety, adversarial ML, or AI security research.

Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines.

In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.

If you're creative and driven to secure the future of AI, we want to hear from you!