Mid-Level AI Platform Engineers

About this 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  • Three to five years of relevant experience  

Experience Should Include • Bachelor’s degree in Computer Science, Engineering, or related field • 5–8 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 syste

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