Senior AI Platform Engineer

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

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance (basic/optional)

Disability coverage (short/long-term)

Parental leave

401(k) and employer-funded retirement

Paid vacation (2–5 weeks)

Up to 11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank seeks a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions in an enterprise setting.

You will work with LLMs, RAG, LangChain/LangGraph, and agentic AI to deliver production-ready AI systems with strong security, reliability, and governance standards. The role emphasizes cloud-native engineering across Azure and AWS, containerization with Docker and Kubernetes, IaC with Terraform/ARM-Bicep, and Python-based microservices.

Qualifications

• Bachelor’s degree in CS or engineering or equivalent.
• 5–6 years of relevant experience in software/platform engineering.
• 2+ years hands-on GenAI experience with LLMs, RAG architectures, and vector databases.
• Experience with Azure and/or AWS cloud platforms.
• Proficiency in Python, Docker, Kubernetes, and IaC tools (Terraform/ARM/Bicep).
• Experience deploying GenAI/ML solutions in production environments.
• Familiarity with observability and monitoring tools.
• Knowledge of AI governance, compliance, and security practices.
• Experience in financial services or regulated industries is a plus.

Responsibilities

• GenAI solution development using LLMs, RAG, and agentic AI concepts.
• Lifecycle support, deployment, monitoring, and scalability of GenAI workloads.
• Cloud-native design across Azure and AWS with containerization and orchestration.
• Develop scalable Python microservices with secure coding and CI/CD.

Skills

GenAI

LLMs

RAG architectures

Prompt engineering

LangChain

LangGraph

Agent Service

Python

Docker

Kubernetes

Terraform

ARM/Bicep

Azure

AWS

Observability

Security practices

Regulated industries

Education

Bachelor's degree in Computer Science/Engineering

Tools

LangChain

LangGraph

Foundry Agent Service

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

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

1. 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

2. 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

3. 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

4. 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.

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.

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 Section19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, RegZ, RegG, 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.

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.