UB

Senior AI Platform Engineer

U.S. Bank

Cupertino, USonsite$124k-$146k/yrPosted Aug 3, 2026
Posting intelligenceActively listed

Skills

kubernetesterraformlangchaindockerpythonazureexcelcicdawsllmml

About the role

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.

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.

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.

Compensation

This AI Infrastructure Engineer role pays $124k-$146k/yr. Within typical range for ai infrastructure engineer roles in United States.

Questions about this role

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Compensation for AI Infrastructure Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our AI Infrastructure Engineer hub for United States medians across recent openings.

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