Lead 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 Dev Ops principles.

• Develop advanced AI/ML applications using Python, Tensor Flow, PyTorch, and cloud platforms (Azure, AWS).
• Build generative AI solutions, enterprise AI agents, and multi‑agent orchestration using Lang Chain, Semantic Kernel, and related SDKs.
• Design prompt architectures with Responsible AI guardrails; integrate Microsoft Copilot Studio and Git Hub 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).

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

• Python Programming:
  Advanced Python programming with AI/ML libraries (Tensor Flow, PyTorch), data handling (Num Py, 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/Agent2
  
  Agent/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.
• Git Hub Copilot (GHCP) :
  Experience using GHCP with Visual studio code, Intelli
  
  J 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 React
  
  JS, Angular
  
  JS, and Type Script, often leveraging design‑to‑code automation tools like V0
• System Design:
  Collaborate on distributed systems and cloud‑native infrastructure, ensuring…