AI Red Team Lead Engineer

AI Red Team Lead Engineer

The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise attack surfaces. Owns the design, execution, and reporting of AI-focused red team operations, adversarial testing, and threat emulation exercises targeting models, data pipelines, AI-enabled applications, and supporting infrastructure. Acts as a senior technical authority and program lead for AI red teaming, partnering with teams to identify, validate, and communicate AI-related risks.

Drives maturity through repeatable testing methodologies, automation, custom tooling, and clear articulation of business impact.

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
• 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.

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, Power Shell, Go, C/C++, Shell)
• Ability to translate research into operational tooling
• Exceptional written and verbal communication skills

This role requires working from a U.S. Bank location three (3) or more days per week.