Software Engineer - CorePointAI

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.

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and Dev Ops principles.

• Design, develop, and support scalable software solutions that enable CorePointAI capabilities across the enterprise.
• Build and maintain APIs, microservices, and cloud-native applications utilizing modern software engineering practices.
• Develop integrations that support AI-powered, data-driven applications and enterprise automation initiatives.
• Design and implement Retrieval Augmented Generation (RAG) solutions, including document ingestion, embeddings, vector search, and prompt engineering.
• Collaborate with Product Management, Engineering, Data, and AI teams to translate business requirements into technical solutions.
• Participate in architecture reviews, technical design discussions, code reviews, testing, and deployment activities.
• Drive adoption of Dev Ops, CI/CD, automated testing, monitoring, and operational excellence practices across the engineering lifecycle.
• Ensure solutions meet enterprise standards for security, scalability, performance, reliability, and responsible AI governance.

• Bachelor’s degree, or equivalent work experience
• Three to five years of relevant experience

• Strong proficiency in Java, Python, or similar object-oriented programming languages with experience developing enterprise applications.
• Hands-on experience building RESTful APIs, microservices architectures, and cloud-native solutions.
• Expertise with Microsoft Azure, including development, deployment, and operational support of cloud-based applications.
• Experience designing and supporting RAG architectures, including document processing, chunking strategies, embeddings, vector search, and prompt optimization.
• Knowledge of Large Language Models (LLMs), Generative AI technologies, and enterprise AI solution patterns.
• Strong understanding of Dev Ops, CI/CD pipelines, Git, Infrastructure as Code, and automated testing frameworks.
• Experience with Azure OpenAI, Azure AI Search, Semantic Kernel, Lang Chain, or comparable AI frameworks and services.
• Knowledge of vector databases, enterprise search platforms, AI security, model governance, responsible AI practices, and enterprise software delivery.

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.

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…