AI Red Team Lead Engineer

U.S. Bank; Cincinnati (AR); On-site; USD 140,000 - 210,000; Full time

Job summary

U.S. Bank is seeking an AI Red Team Lead Engineer to own offensive security for AI/ML systems, pipelines, and integrations, directing adversarial testing, model safety assessments, and threat emulation across environments.

You will mentor red team engineers, collaborate with detection and governance teams, and help advance AI security standards and testing guidance.

Qualifications

• Bachelor's degree or equivalent work experience.
• 8+ years of relevant experience.
• Strong communication and leadership skills.

Responsibilities

• Lead AI Red Team operations and adversarial testing.
• Design and execute AI threat emulation aligned to real-world adversaries.
• Develop custom AI red team tooling and automation.
• Perform security research on AI attack techniques and model vulnerabilities.
• Collaborate with detection, engineering, and governance teams.
• Contribute to AI security standards and program strategy.
• Mentor red team engineers.

Skills

Communication

Leadership

Problem-solving

Analytical thinking

Collaboration

AI/ML security

Threat modeling

Red team

PoC exploits

Model APIs

Education

Bachelor's degree

Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

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