Senior AI/ML Software Engineer

Latitude; Cincinnati, Northern (OH, KY); Hybrid; USD 112,000 - 131,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

401(k) and retirement plan

Paid vacation

Up to 11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking an experienced AI/ML Engineer to design, develop, and deploy ML models and Generative AI solutions. You will build RAG architectures, agentic AI systems, and data pipelines, while ensuring security, governance, and regulatory compliance in a highly regulated financial environment.

The role emphasizes collaboration across product, engineering, data science, and governance teams, with a focus on scalable, production-ready AI services and platforms.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Five to six years of relevant experience.
• Strong Python/Java software engineering experience.
• Experience with Generative AI, LLMs, and production AI apps.
• Cloud-native, containerized apps with Docker/Kubernetes.
• Knowledge of responsible AI, data privacy and governance.

Responsibilities

• Design, develop, train, fine-tune, deploy, and maintain ML models and LLMs.
• Build and optimize RAG architectures using vector databases and semantic search.
• Develop Agentic AI systems with workflow orchestration and tool invocation.
• Establish AI model lifecycle management including training, evaluation, monitoring.
• Design cloud-native AI platforms using Python, Java, Docker, Kubernetes.
• Create AI-powered APIs, microservices, and data pipelines.
• Ensure compliance with Responsible AI and regulatory requirements.
• Collaborate with product, engineering, data science and governance teams.

Skills

Python

Java

Generative AI

LLMs

Machine Learning

RAG

LangChain

LangGraph

DevOps

Azure AI Services

Vector Databases

Semantic Search

Docker

Kubernetes

React

Education

Bachelor’s degree, or equivalent work experience

Tools

LangChain

LangGraph

Docker

Kubernetes

Azure AI Services

Azure AI Search

Vector Databases

Semantic Search

React

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

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.

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.

Equal Opportunity Employer

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.

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.