Lead Software Engineer - AI Engineer

About

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 at JPMorganChase within the Corporate & Investment Banking Payments Technology group, 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. 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.

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
• Proficiency in cloud security for cloud apps and strong understanding of authentication patterns
• In‑depth AWS infrastructure expertise; Terraform‑based Infrastructure as Code
• Practical cloud native experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced in one or more programming language(s) – Python or Java
• Strong fundamentals for building software using appropriate design patterns and test‑driven development

Preferred Qualifications, Capabilities, and Skills

• In‑depth knowledge of the financial services industry and their IT systems
• Experience with Agentic AI experience
• Hands‑on familiarity with code assistants like GitHub Copilot or Claude Code