AI Platform Adoption – Enablement Lead

U.S. Bank

AI Platform Adoption & Enablement Lead accelerating enterprise adoption of AI by guiding AI application design, build, deployment, and monitoring. Partnering across teams to ensure AI use cases are scalable and secure.

Posted 6/23/2026full-timeMinneapolis • Illinois, Minnesota • 🇺🇸 United StatesSenior💰 $170,255 - $200,300 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureERP

About the role

Key responsibilities & impact

Provide hands-on guidance on how to design, build, and deploy AI applications across a variety of use cases (ML, GenAI, agentic AI)
Define and operationalize observability and monitoring frameworks for AI systems, including performance, drift, reliability, and usage tracking
Guide teams in implementing production-ready AI solutions, ensuring scalability, resiliency, and compliance with enterprise standards
Partner with product and engineering teams to shape and refine AI use cases, balancing feasibility, value, and technical complexity
Drive adoption of enterprise AI platforms, tools, and services through practical enablement and technical advisory
Establish and document best practices, patterns, and reusable approaches for AI application development and deployment
Support teams in evaluating and selecting appropriate models, architectures, and tools based on use case requirements
Ensure AI implementations align with enterprise expectations for security, risk, and governance

Requirements

What you’ll need

Masters degree or equivalent work experience
Strong hands-on experience delivering AI projects in production, including engineering, deployment, and monitoring of AI use cases
Deep familiarity with Microsoft Azure AI suite and AWS AI offerings, with Azure as the primary platform
Exposure to a wide range of AI platforms, tools, and models, including custom modeling and execution
Experience with AI application delivery and use case development, not just machine learning or data science
Ability to review and provide technical feasibility guidance for AI requests across the enterprise
Leadership and people management skills, ideally with experience managing developers and data scientists
Experience with agentic AI use cases and tools (e.g., LangChain, LangGraph,AI Foundry, Amazon Bedrock, 3rd party agentic capabilities thru vendors in CRM, ERP & other spaces), with deep knowledge to guide what will be more suitable for solving business problems using gen AI models, human agents, and AI agents and suggest strong technical design to promote reuse and scale for value
Familiarity with enterprise-scale AI enablement, including documentation, education, and self-serve approaches

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI application developmentAI project deliveryobservability frameworksmonitoring frameworksscalabilityresiliencycompliancecustom modelingtechnical feasibility guidanceagentic AI

Soft Skills

leadershippeople managementtechnical advisorycollaborationcommunication

Certifications

Masters degree