Senior AI/ML Software Engineer

U.S. Bank; Cincinnati (OH); On-site; USD 112,000 - 131,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Parental leave

401(k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a senior AI/ML engineer to design, develop, and maintain ML models, Generative AI, and LLMs for enterprise use. You will build RAG architectures, agentic AI systems, and cloud-native platforms using Python, Java, Docker, Kubernetes, and Azure AI services.

This role requires working from a U.S. Bank location at least three days per week in Cincinnati, OH, collaborating with product, data science, governance, and engineering teams to deliver scalable, production-ready AI

Qualifications

• Bachelor’s degree or equivalent work experience.
• 5–6 years of relevant experience.

Responsibilities

• Design, develop, train, fine-tune, deploy, and maintain ML models, Generative AI, and LLMs for enterprise use.
• Build and optimize Retrieval-Augmented Generation (RAG) architectures with vector databases and semantic search.
• Develop and manage Agentic AI systems with workflow orchestration and multi-agent collaboration.
• Establish AI lifecycle management including training, evaluation, monitoring, and versioning.
• Design cloud-native AI platforms using Python, Java, Docker, Kubernetes, and Azure AI services.
• Build and maintain AI-powered APIs, microservices, and data pipelines.
• Ensure Responsible AI, Model Risk Management, security, privacy and governance in a regulated environment.
• Collaborate with product, engineering, data science, business and governance teams to drive production-ready architectures.

Skills

Python

Java

Generative AI

LLMs

RAG

LangChain

LangGraph

Cloud-native apps

Docker

Kubernetes

Azure AI services

Vector databases

Semantic search

APIs & microservices

Security & governance

Education

Bachelor’s degree, or equivalent work experience

Tools

Azure AI Search

LangChain

LangGraph

Docker

Kubernetes

Job description

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 Description

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Essential 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.

Basic Qualifications

• Bachelor’s degree, or equivalent work experience
• Five to six years of relevant experience

Preferred Skills/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

• 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 - $131,300.00

U.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.