At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job DescriptionEssential Responsibilities:
- Design, develop, train, fine-tune, deploy, and maintain Machine Learning models, Generative AI solutions, and Large Language Models (LLMs) to support enterprise business use cases.
- Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, Azure AI Search, and enterprise knowledge repositories.
- Develop and manage Agentic AI systems utilizing workflow orchestration, tool invocation, multi-agent collaboration, guardrails, and frameworks such as LangChain and LangGraph.
- Establish and execute AI model lifecycle management practices including model training, evaluation, validation, monitoring, retraining, versioning, and performance optimization.
- Design and implement cloud-native AI platforms and services using Python, Java, Docker, Kubernetes, and Azure AI services to support scalable and resilient production workloads.
- Build and maintain AI-powered APIs, microservices, integrations, and data pipelines that enable seamless consumption of AI capabilities across applications and business processes.
- Ensure compliance with Responsible AI, Model Risk Management, security, privacy, governance, and regulatory requirements while operating within a highly regulated financial services environment.
- Partner with product, engineering, data science, business, and governance teams to define AI solutions, communicate technical decisions, and drive innovation through prototypes and production-ready architectures.
- Bachelor’s degree, or equivalent work experience
- Five to six years of relevant experience
- Strong software engineering expertise in Python, Java, and object-oriented application development, with the ability to design, build, test, deploy, and maintain scalable software solutions.
- Hands-on experience building Generative AI solutions, Machine Learning Models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI evaluation techniques, Model Risk Management, and production-grade AI applications.
- Experience developing Agentic AI systems leveraging multi-step reasoning, workflow orchestration, tool invocation, guardrails, and modern frameworks such as LangChain and LangGraph.
- Proficiency with Vector Databases and semantic search technologies including Azure AI Search, enabling AI-powered retrieval and knowledge solutions.
- Experience designing and implementing cloud-native, containerized applications using Docker, Kubernetes, and modern cloud platforms and AI services.
- Strong understanding of software architecture, algorithms, data structures, design patterns, scalability, reliability, performance optimization, and software reliability engineering (SRE) practices.
- Knowledge of responsible AI, data privacy, security, compliance, and governance principles, with the ability to implement AI solutions in regulated environments.
- Experience building data-driven APIs, services, and integrations, with exposure to Knowledge Graphs, graph databases, and modern user interfaces such as React.
- Proven ability to collaborate effectively across engineering, product, data, business, and stakeholder teams, translating requirements into well-designed technical solutions and communicating design decisions, risks, and outcomes.
- Demonstrated passion for technology innovation, continuous learning, and experimentation with emerging AI technologies, contributing prototypes, proofs of concept, and improvements that enhance customer and employee experiences.
Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
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
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
Skills Required
- Bachelor's degree or equivalent work experience
- Five to six years of relevant experience
- Strong software engineering expertise in Python, Java, and object-oriented application development
- Experience building generative AI solutions, machine learning models, LLMs, RAG systems, prompt engineering, AI evaluations, model risk management, and production AI applications
- Experience developing agentic AI systems with workflow orchestration, tool invocation, guardrails, LangChain, or LangGraph
- Proficiency with vector databases, semantic search, and Azure AI Search
- Experience designing cloud-native, containerized applications using Docker, Kubernetes, and cloud AI platforms
- Understanding of software architecture, algorithms, data structures, design patterns, scalability, reliability, performance optimization, and SRE practices
- Knowledge of responsible AI, data privacy, security, compliance, and governance principles in regulated environments
- Experience building data-driven APIs, services, integrations, knowledge graphs, graph databases, or React interfaces
- Ability to collaborate across engineering, product, data, business, and stakeholder teams
- Passion for technology innovation, continuous learning, experimentation, prototypes, and proof-of-concepts
US Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.
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Retirement Support — The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
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Leave & Time Off Breadth — Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
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Healthcare Strength — Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.
US Bank Insights
What We Do
We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.
