Ai Integration Engineer Jobs in Minnesota (NOW HIRING)

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.

U.S. Bank is seeking a Principal Emerging Technology Solutions Architect focused on generative AI to evaluate, design, and guide adoption of LLM-based capabilities across the enterprise. This role focuses on translating emerging generative AI technologies into secure, scalable, and reusable architecture patterns that enable innovation while aligning to enterprise standards.

This role has a dedicated focus on generative AI, including LLM application architecture, retrieval-augmented generation (RAG), prompt and orchestration patterns, agentic AI considerations, and responsible enterprise adoption.

This role partners across platform engineering, developer experience, architecture, data, risk, and security teams to evaluate Gen AI capabilities, define solution patterns, and provide practical technical guidance that supports implementation and operational readiness.

Responsibilities

• Evaluate generative AI platforms, tools, and frameworks such as Azure OpenAI, AWS Bedrock, enterprise LLM platforms, GitHub Copilot, Cursor, LangChain, LangGraph, and MCP gateway solutions for enterprise adoption
• Design and recommend LLM-based solution patterns, including RAG, prompt orchestration, tool calling, agentic workflows, model selection, context management, and AI-assisted developer workflows
• Recommend architecture patterns based on cost, scalability, latency, security, compliance, model risk, data protection, observability, and operational support tradeoffs
• Define reusable Gen AI integration approaches using APIs, service-based architectures, vector search, retrieval pipelines, MCP or similar orchestration patterns, and governed access to enterprise data and tools
• Provide technical depth and architecture guidance to help downstream engineering teams move Gen AI solutions from exploration and proof-of-concept into secure, scalable implementation
• Evaluate vendors, models, frameworks, and ecosystem offerings for enterprise fit, implementation readiness, governance alignment, long-term viability, and measurable business value
• Translate complex Gen AI architecture concepts into clear recommendations for technical teams, risk partners, business stakeholders, and senior leaders
• Assess early-stage Gen AI capabilities and translate findings into enterprise-ready recommendations, reference patterns, decision criteria, and adoption guidance

Basic Qualifications

• Bachelor's degree or equivalent work experience
• Eight (8) or more years of experience in software engineering, architecture, or related technical roles

Preferred Skills / Experience

• Strong foundation in software engineering, solution architecture, and enterprise Gen AI application design
• Experience designing distributed systems and integrating platforms through APIs, microservices, event-driven patterns, and modern service-based architectures
• Cloud experience in AWS or Azure, including familiarity with Gen AI and AI/ML services such as Azure OpenAI, Azure AI services, AWS Bedrock, SageMaker, or comparable enterprise AI platforms
• Demonstrated understanding of generative AI architecture, including LLM application patterns, RAG, prompt engineering, orchestration, tool use, model evaluation, context window management, latency, cost, and safety alignment
• Experience evaluating or designing AI-assisted developer productivity capabilities such as GitHub Copilot, Cursor, code generation, internal developer assistants, or similar Gen AI tooling
• Exposure to LLM integration patterns, RAG pipelines, vector search, embeddings, prompt orchestration, LangChain, LangGraph, MCP, agentic workflows, or comparable emerging AI frameworks
• Experience making Gen AI architecture decisions grounded in real-world tradeoffs, including cost, scalability, latency, security, compliance, data access, risk, and operational readiness
• Ability to design Gen AI solutions and provide implementation-oriented technical guidance, not purely conceptual architecture
• Familiarity with responsible AI, model governance, content safety, prompt injection risks, data privacy, access controls, monitoring, and auditability considerations in regulated environments
• Strong communication and stakeholder alignment skills

Location Expectation

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

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability 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 theE-Verify program.

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.