Engineering Director, AI Guardrails

US Bank

Closes in 5 days

Quick summary

Work type
On-site
Location
Chicago, ILMinneapolis, MNCupertino, CACharlotte, NCCincinnati, OH
Salary
$159,970–$188,200 / yr
Posted
4 days ago
Closes
Jul 3, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $174k
$148k most similar roles pay here $269k

This role pays less than 71% of similar roles. Most pay $170,000–$250,000 — the shaded band above. At the midpoint, this role pays about $174k versus about $210k 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 46 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 46 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Engineering Director, AI Guardrails

The AI Guardrails Engineering Director at U.S. leads a team of engineers responsible for building and maintaining products that govern AI models and agents within the Enterprise AI Platform Offering. This role involves setting technical direction, developing engineering managers, and establishing standards for risk, compliance, and Responsible AI practices across Azure and AWS platforms. The director ensures scalability, reliability, and cost optimization while fostering cross-functional collaboration with product, security, and business stakeholders to enable secure AI adoption. Key responsibilities include overseeing Agile practices, providing feedback on team performance, managing HR-related matters, and driving continuous improvements in delivery outcomes. Ideal candidates have over 10 years of software engineering experience, including at least five years leading multiple teams, and expertise in designing large-scale distributed systems and cloud-native platforms. Knowledge of AI governance principles, enterprise security frameworks, and regulatory considerations is essential.

What you'll do

  • Lead vision and architecture for AI Security products on Enterprise AI Platform.
  • Own cloud-native platform design and delivery across Azure and AWS environments.
  • Ensure alignment with enterprise standards for security, compliance, and Responsible AI.
  • Drive cross-functional collaboration with stakeholders to enable secure AI adoption.
  • Maintain awareness of team delivery issues and provide technical oversight as needed.
  • Enforce Agile practices and operational rigor across engineering teams.

What we're looking for

  • 10+ years of software engineering experience with a focus on platform or distributed systems.
  • Minimum 5 years managing multiple engineering teams, including oversight of managers and senior staff.
  • Proven track record in designing and delivering large-scale cloud-native platforms (Azure/AWS).
  • Strong knowledge of AI/ML concepts, LLMs, RAG architectures, and AI application integration.
  • Experience implementing enterprise-grade security, compliance, and data governance frameworks.
  • Expertise in Responsible AI, model risk management, and regulatory considerations.
  • Ability to influence senior technology and business leadership effectively.

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