Principal AI Engineer – AI Acceleration & Enterprise Enablement

U.S. Bank•Atlanta, GA
•$149,515 - $175,900•Hybrid

About The Position

U.S. Bank is seeking a Principal AI Engineer to accelerate enterprise-wide AI adoption. This senior individual contributor role combines hands-on engineering and technical leadership to identify high-value AI opportunities and build secure, scalable, production-ready solutions. The engineer will collaborate across business and technology teams to develop AI capabilities, reusable frameworks, and intelligent automation solutions while helping teams strengthen their AI engineering expertise.

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.
  • 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.

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 use cases and design approaches that fit the enterprise environment.
  • Establish 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, including medical, dental, and 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 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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