Software Engineering Director, Head of AI Technology

US Bank

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Hopkins, MNCharlotte, NCIrving, TX
Salary
$170,255–$200,300 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Sep 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $222k
This role $185k
$158k most similar roles pay here $287k

This role pays less than 76% of similar roles. Most pay $187,000–$256,075 — the shaded band above. At the midpoint, this role pays about $185k versus about $222k 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 35 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 32 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Software Engineering Director, Head of AI Technology

Software Engineering Director 2 - Head of AI Technology for WCIB serves as an executive leader responsible for accelerating Artificial Intelligence adoption across Wealth, Corporate, Commercial, and Institutional Banking. The role involves defining a multi-year technology strategy, establishing federated delivery models with engineering pods, and building scalable frameworks to improve operational efficiency and product quality. You will manage the development of Generative AI, Agentic AI, Machine Learning, and enterprise AI platforms while ensuring strict adherence to responsible AI governance and risk controls. Key technical competencies include expertise in cloud technologies, data platforms, and enterprise architecture. The position focuses on solving complex problems within the financial services domain by integrating advanced AI capabilities into the software development lifecycle to drive measurable business outcomes, enhance client experiences, and improve overall engineering productivity across multiple business units.

What you'll do

  • Define and execute a multi-year AI technology strategy and roadmap for the WCIB business lines.
  • Establish and operate a federated AI delivery model using engineering pods embedded in business units.
  • Identify, prioritize, and deliver high-value AI use cases to improve productivity and client experience.
  • Accelerate the adoption of Generative AI, Agentic AI, and Machine Learning across technology teams.
  • Develop scalable AI engineering practices, tools, and frameworks to ensure consistent delivery across departments.
  • Improve software development lifecycle efficiency through AI-enabled enhancements in code quality and speed.
  • Lead AI talent strategy including workforce planning, recruitment, mentoring, and upskilling initiatives.
  • Ensure all AI initiatives comply with enterprise standards for risk management, security, and regulatory requirements.

What we're looking for

  • Bachelor's degree or equivalent work experience.
  • 10 or more years of relevant software engineering experience.
  • Six or more years of experience leading multiple software engineering teams.
  • Proven experience leading large-scale AI, data, platform, or technology transformation initiatives.
  • Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Agentic AI, and enterprise platforms.
  • Experience building product-oriented technology teams and federated operating models.
  • Strong background in software engineering, cloud technologies, data platforms, and enterprise architecture.
  • Experience working within financial services environments (preferred).

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