Lead Software Engineer Python, AI

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As aLead Software Engineerat JPMorgan Chase within the Commercial & Investment Banks Sales & Research Technology team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Design build and operate LLM-powered AI agents and multi-agent orchestration frameworks
• Build conversational interfaces and programmatic APIs for interacting with agent orchestrator
• Implement common tools for agents to use to interact with enterprise systems
• Build evaluation testing and feedback frameworks to enable continuous and reinforced learning
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while establishing consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.
• Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Proficiency in Python and agent development frameworks
• Understanding of large language models APIs and prompt engineering
• Hands-on practical experience in system design application development testing and operational stability
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

Preferred qualifications capabilities and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies