Principal AI Engineer - AI Acceleration & Enterprise Enablement

US Bank; Hopkins (MN); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Disability insurance

Parental leave

Retirement plan

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a Principal AI Engineer to accelerate enterprise AI adoption.

This senior IC will blend hands-on engineering with technical leadership to identify high-value AI opportunities, building secure, scalable, production-ready solutions across business and technology teams. The role focuses on designing enterprise AI capabilities, reusable frameworks, and intelligent automation while expanding AI engineering expertise across the organization.

Qualifications

• Experience designing and delivering enterprise AI or intelligent automation solutions.
• Strong hands-on experience with Python, APIs, pipelines, and modern software engineering practices.
• Demonstrated experience solving problems involving complex unstructured documents or data, including extraction methods, accuracy improvement, and solutions operating at scale.
• Experience with LLMs, Agentic AI, RAG, prompt engineering, and AI orchestration frameworks.
• Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance.
• Experience building reusable AI frameworks, accelerators, developer tools, or enterprise integrations.
• Experience with cloud AI services, preferably Azure AI and/or Azure OpenAI.
• Strong understanding of secure, scalable, production-quality software engineering.
• Ability to provide technical leadership, consult across organizations, influence senior stakeholders, and communicate complex AI concepts to technical and non-technical audiences.
• Experience in financial services or another highly regulated industry is preferred.

Responsibilities

• Design, build, and deliver enterprise AI and Generative AI solutions from concept through production.
• Develop scalable AI solutions using Python, APIs, pipelines, and cloud AI services.
• Build solutions for complex structured and unstructured information, including document intelligence, data extraction, and workflow automation.
• Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases.
• Build reusable AI frameworks, accelerators, components, and integration patterns that improve solution delivery.
• Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches that fit the enterprise environment.
• Establish strong engineering practices across testing, security, software quality, scalability, and deployment.
• Provide technical leadership, mentor engineering teams, and help expand AI capabilities across the organization.

Skills

AI engineering

Python

APIs

Pipelines

LLMs

Agentic AI

RAG

Prompt engineering

MLOps

Model lifecycle

Azure AI

Security best practices

Stakeholder communication

Enterprise integration

Education

Bachelor's degree or equivalent experience

Tools

Azure OpenAI

Job description

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

We are seeking a Principal AI Engineer to help accelerate the adoption of AI across the enterprise. This senior individual contributor will combine hands-on engineering with technical leadership to identify high-value AI opportunities and build secure, scalable, production-ready solutions.The role will work across business and technology teams to develop AI capabilities, reusable frameworks, and intelligent automation solutions while helping teams expand their AI engineering expertise.

Key Responsibilities

• Design, build, and deliver enterprise AI and Generative AI solutions from concept through production.
• Develop scalable AI solutions using Python, APIs, pipelines, and cloud AI services .
• Build solutions for complex structured and unstructured information , including document intelligence, data extraction, and workflow automation.
• Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases.
• Build reusable AI frameworks, accelerators, components, and integration patterns that improve solution delivery.
• Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches that fit the enterprise environment.
• Establish strong engineering practices across testing, security, software quality, scalability, and deployment .
• Provide technical leadership, mentor engineering teams, and help expand AI capabilities across the organization.

Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Eight or more years of relevant experience

Preferred Skills/Experience

• Experience designing and delivering enterprise AI, Generative AI, or intelligent automation solutions.
• Strong hands-on experience with Python, APIs, pipelines , and modern software engineering practices.
• Demonstrated experience solving problems involving complex unstructured documents or data , including extraction methods, accuracy improvement, and solutions operating at scale.
• Experience with LLMs, Agentic AI, RAG, prompt engineering , and AI orchestration frameworks.
• Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance.
• Experience building reusable AI frameworks, accelerators, developer tools, or enterprise integrations.
• Experience with cloud AI services, preferably Azure AI and/or Azure OpenAI .
• Strong understanding of secure, scalable, production-quality software engineering .
• Ability to provide technical leadership, consult across organizations, influence senior stakeholders , and communicate complex AI concepts to technical and non-technical audiences.
• Experience in financial services or another highly regulated industry is preferred.

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 our disability accommodations for applicants .

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

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 abou