Emerging Tech Engineer

Relha LLC; Atlanta, Northern (GA, KY); Hybrid; USD 112,000 - 131,000; Full time

Benefits offered by this job

Basic life insurance

Disability coverage

401(k) plan

Paid vacation

Holiday opportunities

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking an experienced software engineer to enable an AI-powered Software Development Lifecycle. You will design, develop, and operationalize Enterprise AI Agents, driving developer productivity and AI adoption across the enterprise.

You will own full-stack development, implement agentic architectures with LangChain/LangGraph/Semantic Kernel, and prototype AI platforms while ensuring security and governance across enterprise systems.

Qualifications

• Bachelor’s degree or equivalent experience.
• 5–6 years of relevant software development experience.
• Strong depth in cloud-native and distributed systems.
• Expert Python programming and familiarity with React.js/TypeScript.
• Experience with GenAI and agentic AI apps (MCP, LangChain, LangGraph).
• Experience with RAG patterns and vector databases (FAISS, Pinecone).
• Knowledge of SDLC, CI/CD, and container orchestration.

Responsibilities

• Design, develop, test, operate, and maintain AI Agents for enterprise scale.
• Take full-stack ownership with production-ready code.
• Review code and ensure security, governance and compliance for AI apps.
• Collaborate across onshore and offshore teams; align with PDLC initiatives.
• Contribute to best practices in AI tool adoption and architecture.
• Drive reliable, scalable AI-powered development workflows.

Skills

Software development

Python programming

Full-stack development

REST API architecture

GenAI/Agentic AI

RAG architecture & vector DBs

AI/LLM governance & prompt engineering

CI/CD & observability

Cross-functional collaboration

Clear communication

Education

Bachelor’s degree

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Azure AI Foundry

MCP

FAISS

Pinecone

Kubernetes

Docker

GitHub Copilot

Claude Code

Job description

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.

Job Description

This is an exciting Software Engineering role where you will be front and center on enabling an AI-powered Software Development Lifecycle. As a key member of our 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 are a self-motivated individual who can collaborate effectively with your team and across the organization. You take responsibility for the software artifacts you produce, adhering to U.S. Bank standards to ensure minimal impact to the customer experience and enterprise systems.

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

Take full stack ownership by consistently writing production-ready, testable code that scales beyond proof-of-concept stage; implement agentic architectures using modern frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, MCP)

Develop AI-enabled proof-of-concepts (PoCs) and rapid prototypes that validate emerging AI platforms, tools, and capabilities; establish reusable patterns and architectural blueprints for enterprise-scale AI integration

Consistently create optimal design adhering to architectural best practices; consider scalability, reliability, and performance when defining technical designs for AI-powered systems, including RAG patterns and vector database implementations

Perform analysis on failures, propose design changes, and encourage operational improvements; conduct technical experimentation and validation of novel AI approaches, documenting findings and recommendations

Conduct code reviews to provide guidance on engineering best practices, compliance with development procedures, and security standards for AI-enabled applications

Accountable for ensuring all aspects of product development follow compliance and security best practices, with particular attention to AI/LLM governance, data handling, and prompt engineering safety

Embrace emerging technology opportunities and contribute to establishing best practices in support of the bank's AI and technology transformation; partner with strategic vendors and technology partners to evaluate emerging AI solutions

Contribute to a culture of innovation, collaboration and continuous improvement by sharing knowledge through internal innovation programs, hackathons, and cross-team enablement initiatives

Collaborate with onshore and offshore development teams to scale, refine, and operationalize PoC solutions; support the broader adoption of AI-enabled development tools across multiple teams and business units

Review tasks critically and ensure they are appropriately prioritized and sized for incremental delivery; anticipate and communicate blockers and delays before they require escalation

Basic Qualifications

• Bachelor’s degree, or equivalent work experience
• Five to six years of relevant experience

Preferred Skills/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; understanding of Copilot Studio and other AI‑enabled developer tools
• 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 enterprise deployment and scaling practices
• 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
• 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.

Benefits

• 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E‑Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.