Principal AI Engineer – AI Acceleration & Enterprise Enablement

U.S. Bank•Hopkins, MN
•$149,515 - $175,900•Hybrid

About The Position

U.S. Bank is seeking a Principal AI Engineer to accelerate enterprise AI adoption. This senior individual contributor combines hands-on engineering with technical leadership to identify valuable AI opportunities and deliver secure, scalable, production-ready solutions. The role works across business and technology teams to develop AI capabilities, reusable frameworks, and intelligent automation solutions while helping expand AI engineering expertise across the organization. The position requires working from a U.S. Bank location three or more days per week. The listed pay range is $149,515 to $175,900; the actual range may vary by role location. U.S. Bank offers a comprehensive benefits package, subject to eligibility requirements.

Requirements

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

Nice To Haves

  • 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.
  • 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.

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 to improve solution delivery.
  • Partner with engineering, product, architecture, security, and business teams to assess AI opportunities and design practical enterprise solutions.
  • Establish strong engineering practices for testing, security, software quality, scalability, and deployment.
  • Provide technical leadership, mentor engineering teams, and help expand AI capabilities across the organization.

Benefits

  • Healthcare coverage, including medical, dental, and vision.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability coverage.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
  • Incentive and recognition programs.
  • Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.
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