U.S. Bank
U.S. Bank
U.S. Bank ir Amerikas Savienotajās Valstīs bāzēta finanšu pakalpojumu iestāde, kas apkalpo privātpersonas un uzņēmumus, nodrošinot mazumtirdzniecības un korporatīvo banku pakalpojumus, aktīvu pārvaldīšanu, kredītriska izvērtēšanu un ieguldījumu pārvaldīšanu. Uzņēmums atbalsta arī finanšu pratības iniciatīvas un iesaisti sabiedrībā. Tā karjeras saturs izceļ iekļaušanu, darba kultūru, darbinieku attīstību, kā arī veselību un labklājību. U.S. Bank ir FDIC dalībnieks attiecībā uz atbilstošiem noguldījumu produktiem; ieguldījumu un apdrošināšanas produktus FDIC neapdrošina, un to vērtība var samazināties.

Principal AI Engineer, Enterprise AI Acceleration

Lead secure, scalable AI adoption at U.S. Bank by delivering generative AI solutions, reusable engineering frameworks, and intelligent automation. Partner across business and technology teams to bring enterprise AI use cases from concept to production.

Apraksts

  • Deliver enterprise AI and generative AI solutions from initial concept through production.
  • Build scalable AI applications with Python, APIs, pipelines, and cloud AI services.
  • Develop tools for complex structured and unstructured data, including document intelligence, data extraction, and workflow automation.
  • Apply large language models, agentic AI, retrieval-augmented generation, and prompt engineering to suitable business problems.
  • Create reusable AI frameworks, accelerators, components, and integration patterns to improve delivery.
  • Work with engineering, product, architecture, security, and business partners to assess AI use cases and shape practical enterprise solutions.
  • Set engineering standards for testing, security, software quality, scalability, and deployment.
  • Lead technically, mentor engineering teams, and grow AI capabilities across the organization.

Prasības

  • Bachelor’s degree or equivalent professional experience.
  • At least eight years of relevant experience.
  • Background designing and delivering enterprise AI, generative AI, or intelligent automation solutions.
  • Strong practical skills with Python, APIs, pipelines, and modern software engineering methods.
  • Experience addressing complex unstructured documents or data, including extraction, accuracy improvements, and solutions at scale.
  • Hands-on experience with large language models, agentic AI, retrieval-augmented generation, prompt engineering, and AI orchestration frameworks.
  • Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance.
  • Experience developing reusable AI frameworks, accelerators, developer tools, or enterprise integrations.
  • Experience with cloud AI services; Azure AI or Azure OpenAI is preferred.
  • Strong understanding of secure, scalable, production-grade software engineering.
  • Ability to lead technically, advise across organizations, influence senior stakeholders, and explain complex AI concepts to technical and nontechnical audiences.
  • Financial services or other highly regulated industry experience is preferred.
  • Ability to work from a U.S. Bank location at least three days per week.
  • Ability to comply with U.S. Bank policies and procedures, including its Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Priekšrocības

  • Medical, dental, and vision coverage.
  • Basic 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 accrual of one hour per 30 hours worked, up to 80 hours per calendar year unless applicable law provides otherwise.
  • Incentive and recognition programs.
  • Equity stock purchase program.
  • 401(k) contributions and pension.

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