Emerging Tech Engineer

As a key member of the Product Development Lifecycle (PDLC) Emerging Tech Enablement team, you will design, develop, and operationalize Enterprise AI Agents that drive developer productivity and accelerate AI adoption across U.S. Bank. You will take full stack ownership by consistently writing production-ready, testable code that scales beyond proof-of-concept stage.

What You Will Do

Design, develop, test, operate, and maintain Enterprise AI Agents that demonstrate innovative AI capabilities aligned with PDLC initiatives and drive adoption of AI-enabled development workflows. Develop AI-enabled proof-of-concepts (PoCs) and rapid prototypes that validate emerging AI platforms, tools, and capabilities.

Why It Might Be a Fit

You will contribute to a culture of innovation, collaboration, and continuous improvement by sharing knowledge through internal innovation programs, hackathons, and cross-team enablement initiatives. You will collaborate with onshore and offshore development teams to scale, refine, and operationalize PoC solutions.

Requirements

• Bachelor’s degree, or equivalent work experience
• Five to six years of relevant experience
• 8+ years of development and architectural experience with strong depth across cloud-native and distributed systems
• Expert in Python programming with good understanding of other modern programming languages (Java, C#, Go)
• Experience developing full-stack applications using React.js, TypeScript, and modern frontend frameworks
• Experience building applications using REST API architecture including Auth Flows, Encryption, Observability, and security best practices
• Hands-on experience building and deploying GenAI and Agentic AI Applications using MCP, LangChain, LangGraph, Semantic Kernel, AutoGen, or Azure AI Foundry
• Developing solutions using RAG (Retrieval-Augmented Generation) architecture patterns and vector databases (FAISS, Azure AI Services, Pinecone, etc.)
• Proficiency with GitHub Copilot and Claude Code for accelerated development
• Fundamental understanding of AI/ML models, prompt engineering, and LLM integration patterns including agentic workflows and autonomous agents
• Knowledge of SDLC processes, CI/CD pipelines, and container orchestration (Kubernetes, Docker)
• Experience with code quality, testing frameworks, and observability for production systems
• Strong communication skills with ability to explain technical concepts to both technical and non-technical stakeholders
• Experience working in cross-functional, distributed teams and collaborating across onshore and offshore development organizations

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