U.S. Bank — жеке тұлғалар мен бизнеске бөлшек және корпоративтік банкинг, әл-ауқатты басқару, кредиттік андеррайтинг және инвестицияларды басқару қызметтерін ұсынатын, Америка Құрама Штаттарында орналасқан қаржылық қызметтер ұйымы. Компания қаржылық сауаттылық бастамалары мен қоғаммен өзара іс-қимылды да қолдайды. Оның мансапқа арналған материалдарында инклюзияға, жұмыс орнының мәдениетіне, қызметкерлердің дамуына, денсаулық пен әл-ауқатқа баса назар аударылады. U.S. Bank талаптарға сай депозиттік өнімдер бойынша FDIC мүшесі болып табылады; инвестициялық және сақтандыру өнімдері FDIC сақтандыруымен қамтылмайды және құнын жоғалтуы мүмкін.
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.
Сипаттама
- 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.
Талаптар
- 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.
Артықшылықтар
- 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.