Lead Software Engineer-Agentic AI/Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer-Agentic AI/Python at JPMorgan Chase within the Corporate Technology-Consumer and Community Banking Risk Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way using Agentic AI pattern. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)/framework(s): Java/Spring Boot, Python/FAST API, Node.JS 
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Engineering mindset, entrepreneurship spirit while considering mandatory controls and governance.

• Demonstrated hands-on experience building and maintaining user interfaces with the React framework
• Knowledge and experience in creating LLM pipelines or agentic workflows in a solution or PoC (proof of concept).
• Experience with LLM/agentic framework, e.g. LangChain/LangGraph, Crew.AI, AutoGen, JPMC SmartSDK
• Experence with Agentic telemetry and evaluation services, e.g. Arize Phoenix, LangSmith, JPMC AgentTracingSDK.