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U.S. Bank
U.S. Bank
ConsultingInsuranceLogistics
U.S. Bank is a United States-based financial services institution serving individuals and businesses through retail and corporate banking, wealth management, credit underwriting, and investment management. The company also supports financial literacy initiatives and community engagement. Its careers content highlights an emphasis on inclusion, workplace culture, employee development, and health and wellness. U.S. Bank is an FDIC member for eligible deposit products; investment and insurance products are not FDIC insured and may lose value.
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Principal AI Research Scientist – U.S. Bank, Minneapolis (Hybrid)

Lead research and production delivery for U.S. Bank’s financial-services AI strategy. Explore generative, multimodal, and agentic AI while building secure, scalable enterprise capabilities.

USUnited StatesILIllinoisMNMinnesotaNCNorth CarolinaTXTexas
$149,515 – $175,900 / year
HybridFull-timeLeadEnglish RequiredAI Research ScientistMachine Learning Engineer
CloudPythonPyTorch

Description

  • Track and test emerging AI technologies, research advances, and industry developments, with a focus on generative AI, LLMs, multimodal systems, and agentic AI.
  • Find opportunities to apply advanced AI methods to challenging financial-services problems.
  • Pursue original AI research and exploratory technical investigations.
  • Formulate hypotheses, plan experiments, assess outcomes, and present findings to technical and executive audiences.
  • Support publications, patents, technical whitepapers, and thought leadership activities when appropriate.
  • Convert research ideas into functional prototypes and proof-of-concept solutions.
  • Create and validate AI solutions across data preparation, modeling, deployment, and monitoring.
  • Develop experimental and production-ready systems with modern AI/ML tools, frameworks, and cloud platforms.
  • Apply rigorous practices for model evaluation, benchmarking, explainability, security, and responsible AI.
  • Lead initiatives involving foundation models, generative AI, retrieval-augmented generation, fine-tuning, and agentic workflows.
  • Design and assess AI agents, multi-agent systems, orchestration frameworks, tool-use architectures, memory systems, and human-in-the-loop processes.
  • Define practices for prompt engineering, model adaptation, evaluation, observability, and LLM governance.
  • Evaluate emerging model architectures for deployment in a highly regulated setting.
  • Work with engineers, platform teams, product managers, and business partners to move prototypes into production.
  • Provide technical direction throughout deployment and operationalization.
  • Guide AI architecture choices across innovation, scalability, security, compliance, and operational needs.
  • Coach engineers and data scientists.
  • Own delivery outcomes from initial AI concept through organizational adoption.

Requirements

  • Bachelor’s degree or equivalent professional experience.
  • At least eight years of relevant experience.
  • Advanced Python programming skills and proficiency with modern AI/ML frameworks.
  • Proven ability to design, build, and deploy production AI/ML solutions.
  • Experience managing the complete AI product lifecycle from research and experimentation through deployment and operations.
  • Deep knowledge of machine learning, deep learning, neural networks, transformers, and foundation models.
  • Extensive generative AI experience, including LLM fine-tuning, RAG, model evaluation, and inference optimization.
  • Experience creating and assessing agentic AI systems, multi-agent workflows, orchestration frameworks, and autonomous decision architectures.
  • Hands-on expertise with PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI ecosystems.
  • A demonstrated innovation record through publications, patents, open-source work, conference presentations, or substantial AI solution delivery.
  • Experience building AI systems in regulated sectors such as financial services, healthcare, insurance, or telecommunications.
  • Strong communication skills and the ability to turn complex AI concepts into practical business outcomes.
  • Ability to follow U.S. Bank policies and procedures, including its Code of Ethics and Business Conduct and applicable workplace conduct and safety requirements.

Benefits

  • Medical, dental, and vision healthcare coverage.
  • Basic and optional term life insurance.
  • Short- and long-term disability coverage.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plans.
  • Two to five weeks of paid vacation based on salary grade and tenure.
  • Up to 11 paid holiday opportunities.
  • Adoption assistance.
  • Sick and Safe Leave accruing at one hour per 30 hours worked, up to 80 hours per calendar year unless otherwise required by law.
  • Incentive and recognition programs.
  • Equity stock purchase program.
  • 401(k) contributions and pension.

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