AI/ML Enablement Lead Engineer

U.S. Bank

AI/ML Enablement Lead Engineer leading AI adoption and scaling solutions at U.S. Bank.

Posted 7/22/2026full-timeNew York City • California, Minnesota, New York • 🇺🇸 United StatesSenior💰 $148,495 - $174,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI solution architecture, software engineering, and the delivery of AI-enabled products. Proven ability to translate business needs into scalable technical solutions while leading cross-functional teams and mentoring engineers.

Highest-signal resume keywords

AI Solution ArchitectureAI-Enabled Software DevelopmentAzure OpenAI ExperienceSoftware Engineering LeadershipStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Application DevelopmentPrompt EngineeringModel EvaluationSolution DesignAI OrchestrationApplication FrameworksLLM ImplementationRAG ImplementationGenAI Implementation

Soft Skills

Excellent CommunicationPresentation SkillsMentoringCollaborationInfluencing Strategy

Tools & Technologies

LangChainLangGraphSemantic KernelMCPOpenAIAnthropicGemini

Industry Keywords

AI Use CasesTechnical LeadershipCross-Functional TeamsBusiness Needs TranslationAI Strategy

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Partner with business and technology teams to identify, evaluate, and prioritize AI use cases.
Translate business needs into scalable AI solution designs and implementation plans.
Lead delivery of AI-enabled products and solutions from concept through production.
Provide technical leadership to engineers, contractors, and delivery teams.
Guide architecture, design, and implementation decisions related to AI and software engineering.
Present AI capabilities, demonstrations, and solution recommendations to business and technical stakeholders.
Collaborate with enterprise AI, architecture, and technology organizations to align initiatives and leverage existing capabilities.
Influence AI strategy, adoption, and best practices across WCIB.
Support team growth through mentoring, leadership, and participation in hiring activities.

Requirements

What you’ll need

Strong software engineering background with hands-on application development experience.
Experience designing, building, or delivering AI-enabled software solutions.
Experience implementing LLM, RAG, Agentic AI, GenAI, or other modern AI solutions in production environments.
Experience with AI orchestration and application frameworks such as LangChain, LangGraph, Semantic Kernel, MCP, or similar technologies.
Experience leveraging Azure OpenAI, OpenAI, Anthropic, Gemini, or comparable enterprise AI platforms.
Deep understanding of AI solution architecture, prompt engineering, retrieval patterns, model evaluation, and AI application development.
Experience leading engineers, contractors, or technical delivery teams.
Strong software architecture and solution design skills.
Experience translating business needs into technical solutions.
Excellent communication, presentation, and stakeholder management abilities.
Proven success delivering complex technology initiatives through cross-functional teams.

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