AI/ML Enablement Lead Engineer – Solutions

U.S. Bank

AI/ML Enablement Lead Engineer at U.S. Bank driving enterprise AI capabilities with engineering and business collaboration.

Posted 7/8/2026full-timeChicago • Illinois, Minnesota, North Carolina • 🇺🇸 United StatesSenior💰 $139,230 - $163,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating business needs into technical requirements for AI solutions, with a strong focus on Generative AI technologies, including LLMs and RAG. Proven ability to drive adoption of enterprise AI platforms while ensuring scalable and compliant implementations.

Highest-signal resume keywords

Generative AI TechnologiesPython ProgrammingAPI-Based ArchitectureCloud Platforms (Azure, AWS)Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/ML EngineeringSolution EngineeringTechnical Requirements TranslationAI Solution Design

Soft Skills

Strong Communication SkillsCross-Functional CollaborationProblem Solving

Tools & Technologies

AI PlatformsMicroservices ArchitectureCloud Infrastructure

Industry Keywords

Enterprise AIImplementation GuidanceScalable SolutionsCompliance Standards

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Serve as the primary liaison between business teams and the AI platform team
Embed within a business line to drive delivery of AI use cases
Translate business needs into technical requirements and solution designs
Guide implementation of AI solutions leveraging LLMs, RAG, and related technologies
Provide hands-on technical guidance across architecture, tooling, and platform capabilities
Unblock and accelerate AI initiatives by resolving access, tooling, and process challenges
Partner with engineering teams to ensure scalable, secure, and compliant implementations
Communicate priorities, timelines, and constraints across stakeholders
Drive adoption of enterprise AI platforms and best practices
Contribute to standardization and scaling of AI solutions across the organization

Requirements

What you’ll need

6+ years of experience in software engineering, AI/ML engineering, or solution engineering
Hands-on experience with Generative AI technologies, including LLMs and RAG
Strong proficiency in Python and API-based or microservices architecture
Experience with cloud platforms (Azure and/or AWS)
Familiarity with Kubernetes and modern engineering environments
Ability to design and guide implementation of AI solutions in enterprise systems
Strong communication skills with experience working cross-functionally with business stakeholders
Proven ability to troubleshoot issues, remove blockers, and accelerate delivery

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law