Lead Software Engineer - AI/ML

U.S. Bank • Irving, TX

1d • Onsite

About The Position

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. Job Description 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.

Requirements

• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience

Nice To Haves

• Python Programming: Advanced Python programming with AI/ML libraries (TensorFlow, PyTorch), data handling (NumPy, Pandas), API design (FastAPI, Flask , Spring AI), Unit testing with pytest, monitoring with Langfuse
• Gen AI Applications : Building generative AI applications using AWS Bed Rock or Azure OpenAI to accelerate development workflows and integrate GenAI into software products
• Azure AI Services : Azure AI Search for Semantic search, RAG. Experience with other vector databases (e.g., Pinecone, FAISS , Elastic Vector Search) or embedding storage. Knowledge in Azure Cognitive Services Vision, Speech, Language, Decision APIs. Azure Document Intelligence, Azure AI Foundry .
• AI Agents : Building Enterprise level AI Agents and Multi-Agent orchestration. Use of Enterprise ready Agentic AI SDKs Lang Chain/Lang Graph/Lang Smith/Auto Gen/Semantic Kernel/Agent Core/Crew AI/Agent2Agent/Agent Development Kit
• Prompt-Engineering: Design prompt architectures and guardrails. Compliance, ensure prompts align with Responsible AI and Explainable AI (xAI) principles.
• Microsoft Copilot Studio : Knowledge of Copilot Studio agents, plugins. Connect Copilot experiences to enterprise APIs.
• GitHub Copilot (GHCP) : Experience using GHCP with Visual studio code, IntelliJ IDEs. Knowledge in building VSCode private extensions and MCP tools.
• AI Governance: Strong understanding of Data privacy, PII protection, and compliance (e.g., SOC2, GDPR). AI security principals protecting Agents (guardrails) , prompt injection
• Front-End Engineering: Develop responsive UI components using ReactJS, AngularJS, and TypeScript, often leveraging design-to-code automation tools like V0
• System Design: Collaborate on distributed systems and cloud-native infrastructure, ensuring performance, reliability, and security
• DevOps & CI/CD: Implement and maintain CI/CD pipelines using Jenkins and GitLab CI/CD for deployment across environments. Knowledge of Terraform and Ansible scripts.
• Programming Languages: Proficiency in programming languages like Python , TypeScript/JavaScript , Java, SQL, and Shell scripting
• Cloud Platforms: Familiarity with Azure/AWS, Kubernetes, and modern DevOps paradigms
• OAuth 2.0/2.1 Integration : Building and integrating Authentication and Authorization for Enterprise Agents, MCP tools with Microsoft Entra for OAuth and OIDC. Apply role-based access control and zero trust for APIs and endpoints

Responsibilities

• Develop advanced AI/ML applications using Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS).
• Build generative AI solutions, enterprise AI agents, and multi-agent orchestration using LangChain, Semantic Kernel, and related SDKs.
• Design prompt architectures with Responsible AI guardrails; integrate Microsoft Copilot Studio and GitHub Copilot into workflows.
• Implement secure, compliant AI systems (SOC2, GDPR) with OAuth 2.0, RBAC, and zero-trust principles.
• Collaborate on system design, CI/CD pipelines, and responsive UI development (React, Angular).

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees