AI Red Team Lead Engineer

Key Responsibilities

• Lead AI Red Team operations, including adversarial testing of: Foundation and custom models (LLMs, vision, speech, decision systems), model deployment environments (APIs, plugins, agents, RAG pipelines), training, evaluation, and inference pipelines, data ingestion, labeling, and governance controls.
• Develop and maintain custom AI red team tooling, frameworks, and automation to scale testing and improve repeatability.
• Perform security research into emerging AI attack techniques, model vulnerabilities, and defensive gaps.
• Partner with detection, engineering, and governance teams to support purple-team and control validation activities.
• Contribute to AI security standards, testing guidance, and program strategy.
• Mentor and provide technical leadership to red team engineers.

Required Skills/Experience

• Bachelor's degree, or equivalent work experience
• Eight plus years of relevant experience
• Thorough understanding of the applicable information security systems, policies, and procedures
• Effective communication, presentation skills, leadership, problem-solving and analytical skills
• Proven collaboration and influencing skills

Preferred Skills/Experience

• Hands-on experience testing or securing AI/ML systems, including LLMs or other model classes
• Knowledge of AI threat models and attack techniques including, but not limited to, prompt injection, model extraction, training data poisoning, inference abuse, hallucination exploitation
• Familiarity with AI platforms and tooling (e.g., model APIs, orchestration frameworks, evaluation pipelines)
• Significant red team experience, including adversary emulation and multi-stage attack chains
• Proven skill developing proof-of-concept exploits and custom offensive tooling
• Strong understanding of red team and offensive AI techniques and tooling
• Expertise defeating or bypassing endpoint and AI-adjacent security controls (EDR/XDR, API protections, guardrails)
• Experience with cloud, containerized, and AI-hosting environments
• Proficiency in one or more languages (e.g., Python, PowerShell, Go, C/C++, Shell)