Senior AI Platform Engineer

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

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) plan

Paid vacation

Holiday opportunities

Parental leave

Adoption assistance

Job summary

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

The role emphasizes hands-on work with LLMs, RAG architectures, and modern cloud-native engineering practices. Collaborating with cross-functional teams, you will build production-ready AI systems with emphasis on security, reliability, and scalability across Azure and AWS platforms.

Qualifications

• Bachelor’s degree or equivalent work experience required.
• 7–9 years of software or platform engineering experience.
• 2+ years hands-on GenAI experience with LLMs, RAG architectures, and vector databases.
• Experience with LangChain or LangGraph frameworks.
• Cloud experience (Azure and/or AWS).
• Proficiency in Python and in Docker, Kubernetes, and IaC tools.
• Production deployment of GenAI or ML solutions; observability and security practices.

Responsibilities

• GenAI solution development across enterprise-grade systems.
• Build GenAI apps using LLMs, RAG, prompt engineering, and agentic AI concepts.
• Create intelligent pipelines with LangChain, LangGraph, and Foundry Agent Service.
• Evaluate performance, accuracy, and scalability of GenAI implementations.
• Ensure secure deployment, horizontal scaling, and operational stability.
• Contribute to end-to-end GenAI lifecycle: design, integration, deployment, optimization.
• Implement monitoring, logging, and observability for production workloads.
• Develop scalable Python-based applications and microservices.

Skills

GenAI

LLMs

Python

Docker

Kubernetes

LangChain

LangGraph

Azure

AWS

CI/CD

Observability

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

ARM/Bicep

LangChain

LangGraph

Foundry Agent Service

Vector Databases

Azure

AWS

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

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.