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
Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt injection, data poisoning, model inversion, jailbreaks, supply chain risks)
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
Requirements
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
Hands-on experience testing or securing AI/ML systems, including LLMs or other model classes (preferred)
Knowledge of AI threat models and attack techniques including, but not limited to, prompt injection, model extraction, training data poisoning, inference abuse, hallucination exploitation (preferred)
Familiarity with AI platforms and tooling (e.g., model APIs, orchestration frameworks, evaluation pipelines) (preferred)
Significant red team experience, including adversary emulation and multi-stage attack chains (preferred)
Proven skill developing proof-of-concept exploits and custom offensive tooling (preferred)
Strong understanding of red team and offensive AI techniques and tooling (preferred)
Expertise defeating or bypassing endpoint and AI-adjacent security controls (EDR/XDR, API protections, guardrails) (preferred)
Experience with cloud, containerized, and AI-hosting environments (preferred)
Proficiency in one or more languages (e.g., Python, PowerShell, Go, C/C++, Shell) (preferred)
Tech Stack
Cloud
Python
Go
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law