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U.S. Bank

engineering opportunity

Lead AI/ML Solutions Engineer

Act as a technical bridge between business stakeholders and AI platform teams to design and implement scalable AI-powered capabilities. Lead the development of AI-enabled applications using LLMs and RAG while ensuring security and responsible AI practices.

Brookfield, Wisconsin, United StateshybridFULL_TIME

Posted

About the role

What will you do at U.S. Bank?

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

Location expectations:

This role requires working from a U.S. Bank location three (3) or more days per week.

U.S. Bank is seeking a Lead AI/ML Solutions Engineer to help accelerate the adoption of AI capabilities across the enterprise. This individual will serve as a technical bridge between business stakeholders, application development teams, and the AI platform organization, helping identify opportunities, design solutions, and guide implementation of AI-powered capabilities.

This person will leverage a strong software engineering foundation and modern AI technologies to solve complex business problems. They will partner with business and technology teams to design, build, and scale AI-enabled solutions while ensuring security, reliability, maintainability, and responsible AI practices.

Main Responsibilities

Partner with business stakeholders to identify and evaluate AI/ML opportunities

Translate business requirements into scalable technical solutions

Design and guide implementation of AI-enabled applications, services, and workflows

Provide technical leadership across architecture, APIs, microservices, and cloud-native solutions

Help development teams implement solutions using LLMs, RAG, agent frameworks, and modern AI capabilities

Collaborate with platform engineering teams to leverage approved enterprise AI technologies and standards

Participate in architecture reviews, design discussions, and technical decision-making

Troubleshoot technical challenges and remove blockers impacting solution delivery

Promote software engineering best practices, DevOps principles, and responsible AI implementation

Mentor engineers and contribute to reusable patterns, standards, and technical documentation

Work directly with business and technology partners to drive adoption of AI solutions across the enterprise

Evaluate technical tradeoffs and recommend appropriate architectural approaches

Must Have Skills

8+ years of hands-on software engineering experience developing enterprise applications

Strong programming experience in Java, Python, C#, Go, or similar object-oriented languages

Experience implementing LLM, RAG, Agentic AI, or Generative AI solutions in production environments

Experience with LangChain, LangGraph, Semantic Kernel, MCP, or similar AI frameworks

Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or comparable AI platforms

Experience designing and implementing distributed systems and microservices architectures

Strong understanding of software engineering fundamentals, design patterns, algorithms, data structures, and SDLC practices

Experience building REST APIs and event-driven applications

Experience with cloud platforms such as Azure, AWS, or GCP

Experience with Kubernetes, Docker, CI/CD pipelines, and modern DevOps practices

Architecture and solution design experience within enterprise environments

Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Experience leading technical discussions and influencing engineering decisions

Ability to translate business requirements into scalable technical solutions

Experience supporting solutions from design through deployment and production support

Nice to Have

  • Skills
  • Financial services, banking, or other highly regulated industry experience
  • Experience with AI governance, observability, guardrails, and responsible AI practices
  • Experience supporting enterprise AI platform adoption at scale
  • Experience mentoring engineers or serving as a technical lead
  • Familiarity with vector databases, retrieval architectures, and AI evaluation frameworks
  • Experience with AI compliance, auditability, and risk management controls
  • Experience working across multiple stakeholder groups to drive adoption of new technology solutions
  • Experience with large-scale cloud modernization or platform transformation initiatives
  • Experience with distributed systems operating at enterprise scale
  • Experience building reusable frameworks, accelerators, or platform capabilities used across multiple teams
  • 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: $139,230.00 - $163,800.00

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.

Which skills does this role require?

JavaPythonC#GoLLMRAGAgentic AIGenerative AILangChainLangGraphAzure OpenAIAWS BedrockVertex AIMicroservices ArchitectureKubernetesDockerAI/MLSemantic KernelMCPMicroservicesREST APIsEvent-driven ArchitectureAzureAWSGCPCI/CDDevOpsSDLCMachine LearningLLMs

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