AI/ML Enablement Lead Engineer
U.S. Bank · Charlotte, NC
$148,495–$174,700from the description
Jul 22, 2026
Charlotte, NC
Jul 23, 2026
What this job asks for AI summary
A hands-on technical leadership role focused on driving AI adoption across a large banking division — specifically Wealth, Corporate, Commercial, and Institutional Banking. Day to day involves identifying and prioritizing AI use cases, translating business needs into production-ready solutions using modern tools like LLMs, RAG, and agentic frameworks, and guiding engineering teams through delivery. Suits an experienced engineer with both deep AI/ML implementation knowledge and strong stakeholder communication skills.
Senior level · Minneapolis-St. Paul-Bloomington, MN-WI · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 130 people in the Minneapolis-St. Paul-Bloomington, MN-WI area plausibly meet what this posting asks for (software developers). range 55–190
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $133,799 (middle half $105,306–$165,164). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'AI/ML Enablement Lead Engineer' carries no standard seniority level word, so the title states no level; the scope and responsibilities (leading delivery teams, influencing strategy, cross-functional stakeholder management) support a Senior classification.
SOC is Medium confidence: the role is primarily hands-on AI/ML software delivery (15-1252), but its heavy emphasis on technical leadership, strategy influence, and enablement across a large enterprise could also fit 15-1299 (Computer Occupations, All Other) as a hybrid architect/enablement role.
LangChain is listed as the primary example of an AI orchestration framework; LangGraph, Semantic Kernel, and MCP are explicitly named as interchangeable alternatives in the same requirement.
Azure OpenAI is listed as the primary enterprise AI platform; OpenAI, Anthropic, and Gemini are explicitly named as interchangeable alternatives in the same requirement.
Cloud-native AI on Azure appears only under 'Nice to Have Skills' and is marked preferred accordingly.
The pay range ($148,495–$174,700) is stated as reflecting the primary (first-listed) location; actual pay may vary by work location.
The role requires on-site presence at a U.S. Bank location at least 3 days per week — it is not fully remote.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML application development.
Read the full posting
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