Senior AI Platform Engineer

U.S. Bank; Cincinnati (OH); On-site; USD 124,000 - 146,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Disability insurance

Parental leave

401(k) matching

Paid vacation

11 paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions within an enterprise environment.

You will work with LLM-based applications, GenAI architectures, and cloud-native practices to deliver production-ready AI systems that meet enterprise standards for security, reliability, and performance. The role collaborates with cross-functional teams to build GenAI pipelines using LangChain, LangGraph, and Foundry Agent Service, while evaluating

Qualifications

• Bachelor’s degree or equivalent work experience.
• 5–6 years of relevant software/platform engineering experience.
• 2+ years hands-on GenAI experience with LLMs, RAG architectures and vector databases.
• Experience with cloud platforms (Azure and/or AWS).
• Proficiency in Python and containerized microservices.
• Experience deploying GenAI/ML solutions in production and observability tools.
• Familiarity with AI governance, security practices.

Responsibilities

• Design, develop, and deploy scalable GenAI solutions.
• Develop GenAI applications leveraging LLMs, RAG, prompts, and agentic AI concepts.
• Build intelligent pipelines using LangChain, LangGraph, and Foundry Agent Service.
• Evaluate performance, accuracy, and scalability of GenAI implementations.
• GenAIOps & Lifecycle Support; end-to-end GenAI lifecycle including design, development, deployment, and optimization.
• Support secure deployment, horizontal scaling, and observability practices for production environments.
• Develop GenAI systems across cloud platforms (Azure and AWS); contribute to distributed system design for scalable AI workloads.
• Utilize containerization (Docker), orchestration (Kubernetes), and IaC (Terraform, ARM/Bicep).
• Ensure availability, performance, and security; participate in CI/CD pipelines and code reviews.

Skills

GenAI

LLMs

RAG

Python

Docker

Kubernetes

CI/CD

Observability

Security

Cloud platforms

Distributed systems

Education

Bachelor’s degree in Computer Science or Engineering

Tools

LangChain

LangGraph

Microsoft Foundry Agent Service

Docker

Kubernetes

Terraform

ARM/Bicep

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 Summary

The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment. This role requires strong hands‑on expertise in LLM‑based applications, GenAI architectures, and modern cloud‑native engineering practices.

The position partners closely with cross‑functional teams to build production‑ready AI systems that meet enterprise standards for scalability, security, and reliability.

Key Responsibilities

• GenAI Solution Development
• Develop and implement GenAI applications leveraging:
• Large Language Models (LLMs)
• Retrieval‑Augmented Generation (RAG) architectures
• Prompt engineering techniques
• Agentic AI concepts and workflows
• Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Evaluate solution performance, accuracy, and scalability of GenAI implementations
• GenAIOps & Lifecycle Support
• Contribute to the end‑to‑end GenAI lifecycle, including:
• Solution design and development
• Integration and deployment
• Performance tuning and optimization
• Support secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Assist in implementing monitoring, logging, and observability practices for production environments
• Cloud, Platform & Scalability Engineering
• Develop and deploy GenAI systems across cloud platforms (Azure and AWS)
• Contribute to distributed system design for scalable AI workloads
• Utilize modern infrastructure practices:
• Containerization (Docker)
• Orchestration (Kubernetes)
• Infrastructure as Code (Terraform, ARM/Bicep)
• Ensure solutions meet enterprise expectations for availability, performance, and security
• Software Engineering & Delivery Excellence
• Develop scalable applications using Python and microservices‑based architectures
• Apply secure coding standards and proper data handling practices for enterprise, regulated environments
• Contribute to CI/CD pipelines, automated testing, and deployment workflows
• Participate in code reviews and adhere to engineering best practices

Basic Qualifications

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

Experience Should Include

• Bachelor’s degree in Computer Science, Engineering, or related field
• 7 – 9 years of experience in software or platform engineering
• 2+ years hands‑on experience with GenAI systems, including LLMs and RAG architectures and vector databases
• Understanding of agentic AI concepts and exposure to frameworks such as LangChain or LangGraph
• Experience with cloud platforms (Azure and/or AWS)
• Knowledge of distributed systems and scalable application design
• Proficiency in Python development
• Experience with Docker, Kubernetes, and Infrastructure as Code tools
• Experience deploying GenAI or ML solutions in production environments
• Familiarity with observability and monitoring tools
• Understanding of AI governance, compliance, and security practices
• Experience in financial services or other regulated industries is a plus

Core Competencies

Technical Execution

• Applies strong software engineering fundamentals to build production‑grade systems
• Delivers reliable, scalable, and maintainable GenAI solutions

Systems Thinking

• Understands distributed systems and cloud‑native architectures
• Designs for scalability, performance, and resiliency

Learning & Innovation

• Keeps pace with evolving GenAI technologies and frameworks
• Continuously improves solution quality through experimentation

Collaboration & Delivery

• Works effectively across engineering and product teams
• Delivers against commitments with strong ownership and accountability
• 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: $124,355.00 - $146,300.00

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.