AI Red Team Lead Engineer

US Bank

Confirmed live yesterday High trust
Closes in 3 days

Quick summary

Work type
On-site
Location
Cincinnati, OHAtlanta, GANew York, NYChicago, ILGresham, ORCharlotte, NCIrving, TXEarth City, MO
Salary
$126,820–$149,200 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live yesterday
Closes
Oct 5, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $138k
$113k most similar roles pay here $253k

This role pays less than 94% of similar roles. Most pay $162,000–$239,550 — the shaded band above. At the midpoint, this role pays about $138k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 18 open roles on FindRole.

Listed pay typically runs $105,400–$124,000 across 15 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · 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 alongside traditional enterprise attack surfaces. This role involves designing and executing adversarial testing, threat emulation exercises, and research into emerging vulnerabilities like prompt injection, data poisoning, and model inversion. The individual will build custom tools, frameworks, and automation to scale testing for foundation models, RAG pipelines, and data governance controls while mentoring other engineers. Required skills include expertise in red team techniques, experience with cloud and containerized environments, and proficiency in languages such as Python, PowerShell, Go, C/C++, or Shell. The role addresses the critical security risks inherent in AI-enabled applications, ensuring that model deployment environments and inference pipelines are protected against real-world adversaries and sophisticated multi-stage attack chains.

What you'll do

  • Lead the execution of offensive security activities targeting AI/ML systems, platforms, and infrastructure.
  • Perform adversarial testing on foundation models, deployment environments, and data pipelines.
  • Execute threat emulation exercises focused on prompt injection, data poisoning, and model inversion.
  • Develop and maintain custom tools and automation to scale red team testing capabilities.
  • Conduct security research into emerging AI attack techniques and identify defensive gaps.
  • Partner with engineering and governance teams to conduct purple-team activities and validate controls.
  • Establish AI security standards, testing guidance, and overall program strategy.
  • Provide technical leadership and mentorship to the red team engineering staff.

What we're looking for

  • Bachelor's degree or equivalent work experience.
  • Eight plus years of relevant experience.
  • Thorough understanding of applicable information security systems, policies, and procedures.
  • Effective communication, presentation, leadership, problem-solving, and analytical skills.
  • Proven collaboration and influencing skills.
  • Hands-on experience testing or securing AI/ML systems, including LLMs (preferred).
  • Knowledge of AI threat models and attack techniques such as prompt injection and data poisoning (preferred).
  • Significant red team experience, including adversary emulation and multi-stage attack chains (preferred).

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