AI/ML Enablement Lead Engineer (Solutions)

US Bank

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, ILAtlanta, GAHopkins, MNMinneapolis, MNCharlotte, NC
Salary: $139,230–$163,800 / yr
Posted: 4 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $152k

$126k most similar roles pay here $259k

This role pays less than 87% of similar roles. Most pay $168,623–$246,150 — the shaded band above. At the midpoint, this role pays about $152k versus about $207k 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 · AI/ML Enablement Lead Engineer (Solutions)

Role Posting Log in to save

The AI/ML Enablement Lead Engineer role at U.S. Bank is a senior position aimed at driving enterprise-wide adoption of advanced AI technologies. This individual will serve as a critical liaison between business teams and the central AI platform organization, embedding within Lines of Business to deliver impactful solutions using modern AI tools like LLMs and RAG. Day-to-day responsibilities include translating business needs into technical requirements, providing hands-on guidance on architecture and tooling, and ensuring scalable, secure implementations while fostering cross-functional collaboration. The ideal candidate has over six years of experience in software engineering or AI/ML engineering, with strong proficiency in Python, API-based architectures, and cloud platforms like Azure and AWS. Familiarity with Kubernetes and modern engineering environments is essential, along with excellent communication skills to navigate complex business challenges effectively.

Skills

Python Azure AWS Kubernetes LLMs RAG API-based architecture microservices architecture CI/CD Terraform PostgreSQL Snowflake Git Jira Confluence Docker Prometheus Grafana

What you'll do

Serve as primary liaison between business teams and AI platform team.
Embed within a business line to drive delivery of AI use cases.
Translate business needs into technical requirements for scalable solutions.
Guide implementation of AI solutions using LLMs, RAG, and related tech.
Unblock and accelerate AI initiatives by resolving access and tooling challenges.

What we're looking for

6+ years of AI/ML engineering or software development experience
Expertise in Generative AI technologies like LLMs and RAG
Proficiency in Python and API-based architecture
Experience with cloud platforms (Azure, AWS)
Strong communication skills for cross-functional collaboration
Ability to design and implement scalable AI solutions
Familiarity with Kubernetes and modern engineering environments

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