AI Research Scientist

U.S. Bank

AI Scientist to join U.S. Bank's Artificial Intelligence Center of Excellence.

Posted 7/25/2026full-timeMinneapolis • Illinois, Minnesota, North Carolina, Texas • 🇺🇸 United StatesSeniorLead💰 $133,365 - $156,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating AI solutions, particularly in generative AI and large language models, while effectively communicating complex concepts to stakeholders. Proven ability to innovate through research, patents, and publications within regulated industries.

Highest-signal resume keywords

Machine Learning ExpertiseGenerative AI TechnologiesDeep Learning and Neural NetworksAI Solution DevelopmentStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNeural NetworksTransformer ArchitecturesGenerative AIFine-Tuning TechniquesModel EvaluationInference OptimizationAI Orchestration FrameworksAutonomous Decision-Making

Soft Skills

Strong Communication Skills

Tools & Technologies

PyTorchHugging FaceLangChainLangGraphAI/ML ToolsCloud Platforms

Certifications & Qualifications

Ph.D. in Computer ScienceBachelor's Degree in Quantitative Field

Industry Keywords

Financial ServicesHealthcareInsuranceTelecommunicationsRegulated Industries

Tech Stack

Tools & technologies

CloudPyTorch

About the role

Key responsibilities & impact

Monitor, evaluate, and experiment with emerging AI technologies, research breakthroughs, and industry trends, with particular emphasis on generative AI, large language models (LLMs), multimodal AI, and agentic AI systems.
Identify opportunities to apply advanced AI techniques to complex business problems across financial services.
Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches.
Develop hypotheses, design experiments, evaluate results, and communicate findings to technical and business stakeholders.
Contribute to patents, technical publications, whitepapers, prototypes, and innovation initiatives.
Rapidly transform research concepts into working prototypes and proof-of-concepts.
Design, develop, and validate AI solutions across the full lifecycle, from data preparation and modeling through deployment and monitoring.
Build experimental and production-ready solutions using modern AI/ML tools, frameworks, and cloud platforms.
Apply best practices in model evaluation, benchmarking, explainability, security, and responsible AI.
Develop solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows.
Partner with software engineers, platform teams, product managers, and business stakeholders to transition successful prototypes into production environments.
Share knowledge and provide technical guidance to peers and junior team members.

Requirements

What you’ll need

Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
Eight or more years of relevant experience
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Linguistics, or a related field strongly preferred.
Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and foundation models.
Experience with generative AI technologies, including LLMs, fine-tuning, RAG systems, model evaluation, and inference optimization.
Experience building and evaluating agentic AI systems, multi-agent workflows, AI orchestration frameworks, and autonomous decision-making architectures.
Hands-on experience with PyTorch, Hugging Face, LangChain, LangGraph, or equivalent AI ecosystems.
Demonstrated record of innovation through publications, patents, open-source contributions, conference presentations, or impactful AI solution delivery.
Experience developing AI solutions within highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
Strong communication skills and the ability to translate complex AI concepts into actionable business outcomes.

Benefits

Comp & perks

Healthcare (medical, dental, 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 worked, up to 80 hours per calendar year unless otherwise provided by law