Bank Python Jobs in Lithonia, GA (NOW HIRING)

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.

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.

Essential Responsibilities

• 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

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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

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 theE-Verify program.

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.