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U.S. Bank

AI Red Team Lead Engineer

U.S. Bank

AI Red Team Lead Engineer at U.S. Bank leading offensive security activities focused on AI/ML systems.

Posted 5/1/2026full-timeMinneapolis • Illinois, Minnesota, New York, Ohio • 🇺🇸 United StatesSenior💰 $133,365 - $156,900 per yearWebsite

Tech Stack

Tools & technologies
CloudGoPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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)

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
adversarial testingAI red team toolingmodel deployment environmentsdata ingestionAI threat modelsproof-of-concept exploitscustom offensive toolingendpoint security controlsprogramming languagesAI/ML systems
Soft Skills
communication skillspresentation skillsleadershipproblem-solvinganalytical skillscollaboration skillsinfluencing skillsmentoring
Certifications
Bachelor's degree