Hybrid AI/ML Deployment Lead

at U.S. Bank

• Job title: AI/ML Deployment Lead
• Job type: Full Time
• Experience level: Senior
• Salary: $170,255 - $200,300 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, ERP
• Location requirements: Hybrid, Minneapolis, United States

About the role

• AI/ML Deployment Lead managing end-to-end AI lifecycle at U.S. Bank. Ensuring compliance and operational excellence with cross-functional collaboration.

Responsibilities

• Oversee the deployment of high‑availability AI models into production, ensuring reliability, latency, and regulatory compliance.
• Enable and scale adoption of AI platforms, services, agents, and MCPs by establishing training programs, best‑practice frameworks, and enabling tooling.
• Define and govern a unified AI stack aligned with data strategy, security requirements, and long‑term scalability goals.
• Sponsor and guide the development of a self‑service AI platform that democratizes experimentation, deployment, and monitoring across the organization.
• Lead and develop a multidisciplinary team of data scientists, ML engineers, platform engineers, and domain experts, while partnering closely with product, operations, and business leaders to align AI investments with strategic priorities.

Requirements

• 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

• 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