Gen AI Engineering Senior Director

US Bank

Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILHopkins, MNMinneapolis, MNCharlotte, NCCincinnati, OH
Salary
$181,730–$213,800 / yr
Posted
4 days ago
Closes
Jun 17, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $198k
$159k most similar roles pay here $273k

This role pays less than 63% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $198k versus about $208k 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 34 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Gen AI Engineering Senior Director

The Gen AI Engineering Senior Director role at U.S. Bank involves leading the strategy and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. This senior-level position oversees multiple engineering teams, ensuring alignment with enterprise standards for risk, compliance, and responsible AI practices. Day-to-day responsibilities include technical leadership across engineering teams, developing managers and engineers, and establishing governance models while owning cloud-native platform design on Azure and AWS. The role also entails driving MLOps practices, cross-functional collaboration, and maintaining operational rigor through Agile methodologies and Jira management. Required qualifications include extensive experience in software engineering and managing engineering teams, expertise in AI/ML concepts, and familiarity with enterprise security frameworks. Preferred skills involve background in financial services and experience with API-first platforms.

What you'll do

  • Lead the vision and architecture for enterprise AI platforms including GenAI and LLM integration.
  • Own cloud-native platform design ensuring scalability, reliability, and cost optimization on Azure and AWS.
  • Oversee MLOps practices, including CI/CD pipelines and model lifecycle governance.
  • Ensure alignment with security, data privacy, compliance, and Responsible AI standards.
  • Provide technical leadership and develop engineering managers to establish governance models.
  • Drive cross-functional collaboration for secure and scalable AI adoption across the enterprise.

What we're looking for

  • 10+ years of software engineering experience in platform or related disciplines.
  • Minimum 5 years managing engineering teams with oversight of managers and senior staff.
  • Proven track record designing and delivering large-scale, distributed systems on Azure/AWS.
  • Working knowledge of AI/ML concepts including LLMs, RAG architectures, and GenAI integration.
  • Experience implementing enterprise-grade security, compliance, and data governance frameworks.
  • Demonstrated ability to influence and partner with senior technology and business leadership.

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