AI/ML Deployment and Enablement Leader

 

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

The AI/ML Deployment and Enablement Leader owns and governs the end-to-end AI lifecycle across the organization, setting direction, standards, and execution mechanisms that deliver measurable business impact. This role provides strategic oversight to ensure teams design, build, and operate AI solutions that meet enterprise requirements for scale, reliability, and compliance, including high-availability production deployments. The leader drives enterprise AI enablement and feasibility by guiding model and platform selection, defining a unified AI stack and architectural patterns, and establishing playbooks, training, and best-practice frameworks. This position also leads a multidisciplinary team and partners closely with product, operations, engineering, risk/compliance, and business leaders to align AI investments with strategic priorities and operational excellence.

Role Overview

The Leader of AI/ML Deployment and Enablement will own and govern the end‑to‑end AI lifecycle across the organization. This role is responsible for setting direction, establishing standards, and ensuring execution of AI initiatives that deliver measurable business impact.

You will provide strategic oversight and leadership, ensuring teams design, build, and operate AI solutions that meet enterprise requirements for scale, reliability, and compliance.

In this role, you’ll:

• 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 platforms that democratizes experimentation, deployment, and monitoring across the organization.

You will 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.

Key Responsibilities

AI Enablement & Feasibility (Enterprise‑Wide)

Own the enterprise AI feasibility function, providing authoritative guidance on

• Model selection (traditional ML, GenAI, agentic AI)

• Approved platforms, tools, and services

• Architectural patterns and trade‑offs

• Act as the primary technical advisor to business and technology teams evaluating AI use cases.

• Ensure teams are guided toward enterprise‑approved solutions that accelerate delivery and reduce long‑term operational risk.

• Identify delivery blockers early (data readiness, platform onboarding, governance dependencies) and drive resolution.

• Establish and maintain AI playbooks, standards, and best‑practice frameworks for internal teams.

• Sponsor and guide enterprise‑wide workshops, training, and knowledge‑sharing initiatives.

• Provide consultative guidance on AI solutions and architecture, partnering with product, engineering, and business teams to shape use cases, design patterns, and implementation approaches.

• Act as a trusted advisor to teams evaluating AI feasibility, trade‑offs, and architectural alignment with enterprise standards.

• Build and lead an AI Center of Excellence to drive talent strategy, mentorship, and continuous capability development.

AI Production Deployment

• Provide leadership and oversight for enterprise MLOps practices, including CI/CD, model registry, and automated rollback.

• Ensure AI systems meet regulatory, security, and privacy standards in collaboration with risk and compliance stakeholders.

• Define and review SLAs, KPIs, and observability standards for AI services, ensuring operational excellence and accountability.

AI Architecture

• Set the architectural vision for a scalable, modular AI ecosystem spanning data ingestion, feature stores, training infrastructure, and inference.

• Champion standards for model governance, including versioning, data lineage, explainability, and auditability.

• Evaluate emerging AI technologies and approaches, and define adoption roadmaps aligned with business value and risk tolerance.

AI Platform Development

• Own the strategic evolution of the on‑prem AI platform stack (e.g., Airflow, Elasticsearch) and its operating model.

• Ensure delivery of self‑service platforms, APIs, and tooling that enable teams to innovate efficiently and safely.

• Partner with cloud, DevOps, and security leaders to balance performance, cost efficiency, scalability, and compliance.

Preferred Qualifications:

• 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

Location Expectations

This role is hybrid. Team members who are in a hybrid role typically spend three days a week at the listed U.S. Bank location(s), while having flexibility on their work location for the other working days.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $170,255.00 - $200,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.