Sr. Software Engineer - AI/ML

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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive.   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. Try new things, learn new skills and discover what you excel at—all from Day One.  As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

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 DevOps principles.

Design, develop, and maintain core AI-SDLC platform capabilities , including automation pipelines, agentic workflows, and skills-based frameworks. Build and enhance LLM-powered solutions that automate requirements refinement, story decomposition, and software delivery lifecycle processes. Develop scalable and reusable prompt orchestration, context management, and multi-agent frameworks supporting enterprise adoption. Partner with engineering and delivery teams to translate business and development needs into robust AI platform features. Troubleshoot, diagnose, and resolve defects across AI pipelines, integrations, and platform components to ensure reliability and performance. Build and maintain secure API integrations , authentication frameworks, and developer tooling that support AI-SDLC workflows. Implement automated testing, evaluation frameworks, and quality controls to improve platform stability and AI output accuracy. Ensure solutions meet enterprise standards for security, governance, auditability, compliance, and architectural alignment . Basic Qualifications - Bachelor’s degree, or equivalent work experience - Five to six years of relevant experience Preferred Skills/Experience Strong software engineering expertise in Python , with proficiency in TypeScript/Node.js or Java for production-grade application development. Hands-on experience with Large Language Models (LLMs) , prompt engineering, tool/function calling, and agentic AI architectures. Deep understanding of AI pipeline engineering , workflow orchestration, automation frameworks, and SDLC modernization. Experience designing and integrating REST APIs , authentication/authorization mechanisms, and enterprise-scale services. Proficiency with Git/GitHub , CI/CD practices, unit testing, integration testing, and automated quality assurance frameworks. Knowledge of Responsible AI , model evaluation, guardrails, governance, and secure AI development practices. Experience with cloud-native technologies including AWS (Lambda, S3, Bedrock, Amplify) and distributed application architectures. Familiarity with RAG architectures, vector databases, embeddings, observability/telemetry (OpenTelemetry), and AI coding tools such as GitHub Copilot . Location expectations   This role