Senior AI Platform Engineer

Reposted 6 Hours Ago
Be an Early Applicant
5 Locations
In-Office
124K-146K Annually
Senior level
Fintech
The Role
Design, build, and deploy scalable Generative AI solutions (LLMs, RAG, agentic AI) across cloud platforms. Develop pipelines using LangChain/LangGraph, ensure secure, production-grade deployments with containerization, orchestration, IaC, observability, and CI/CD. Collaborate cross-functionally and apply secure coding and governance practices in regulated environments.
Summary Generated by Built In

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.***

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.

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.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Five to six years of relevant experience (job lists 5-6 years as basic qualification)
  • 7-9 years of experience in software or platform engineering (listed in experience section)
  • 2+ years hands-on experience with GenAI systems, including LLMs, RAG architectures, and vector databases
  • Experience with agentic AI concepts and frameworks such as LangChain or LangGraph
  • Proficiency in Python development
  • Experience with cloud platforms (Azure and/or AWS)
  • Experience with Docker and Kubernetes
  • Experience with Infrastructure as Code tools (Terraform, ARM, Bicep)
  • Experience deploying GenAI or ML solutions in production and knowledge of observability/monitoring tools
  • Understanding of distributed systems and scalable application design
  • Understanding of AI governance, compliance, and security practices
  • Experience in financial services or other regulated industries

US Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.

  • Retirement Support The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
  • Leave & Time Off Breadth Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
  • Healthcare Strength Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.

US Bank Insights

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The Company
HQ: Minneapolis, MN

What We Do

We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.

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