Job DescriptionJob SummaryThe 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 Responsibilities1. 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 CompetenciesTechnical 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: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.
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
Posting may be closed earlier due to high volume of applicants. 
