Lead Software Engineer - AI/ML Java/Python

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the CCB AI/ML engineering group in New York.

You will be a core technical contributor, delivering trusted market-leading technology products in a secure, scalable fashion and guiding AI-assisted engineering practices across teams. You will lead design, development, and production code for AI/ML solutions, ensuring secure coding, code reviews, and high-quality software delivery.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Experience leading use of enterprise AI-assisted development tools and setting team expectations for validating AI outputs.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure high-quality AI/ML engineering production code and reviews/debugs code written by others.
• Drives adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools and AI-assisted development capabilities to improve automation value.
• Identifies and automates recurring issues to improve stability of software applications and systems.
• Leads evaluation sessions with vendors and teams to assess architecture and applicability.
• Leads communities of practice to promote new technologies and best practices.
• Adds to team culture of diversity, inclusion, and respect.

Skills

Python

Java

AI/ML

CI/CD

Secure coding

Code review

Leadership

Agile methodologies

Cloud

Tools

AWS

CI/CD tools

Testing tools

Job description

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 CCB AI/ML engineering, 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.

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 AI/ML engineering production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• 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
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.Experience required, AI/ML engineering on AWS platform
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) like Python, Java
• 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