Lead Software Engineer

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 Chief Technology office - Intelligent Solutions Product Line 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.

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


* Design and deliver creative software solutions through architecture, development, and technical troubleshooting, applying non-routine thinking to decompose complex problems and build durable solutions.


* Architect, build, and operate secure, high-quality production systems using Java, and AI code generation assistant tools aligned to CTO standards for resiliency, availability, and risk controls.


* Drive adoption of enterprise-authorized AI-assisted engineering practices (e.g., AI-assisted code review/refactoring, test acceleration, troubleshooting support), establishing validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across teams.


* Partner with product and engineering leadership to shape technical vision and execute roadmaps across ISPL capabilities (process/decisioning, workflow/robotics automation, data transformation, and business intelligence).


* Implement and continuously improve automation-first engineering practices including CI/CD, environment management, and release controls to reduce manual interventions for both vendor-integrated and custom-built solutions.


* Integrate AI/ML capabilities into software systems where appropriate (e.g., LLM-powered experiences, retrieval-augmented patterns, NLP workflows), while ensuring secure handling of sensitive data and outputs.


* Design experiments, implement algorithms, evaluate results, and produce scalable and observable AI/ML components and services (including model/service performance, latency, and reliability).


* Identify recurring production issues and drive automation/remediation to improve system reliability, reduce toil, and raise operational maturity (instrumentation, alerting, incident response, and root-cause elimination).


* Mentor and coach engineers and AI practitioners within a global organization, reinforcing engineering excellence, ownership, and accountability.

Required Qualifications, Capabilities, and Skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* 8+ years of hands-on software engineering experience delivering system design, application development, testing strategies, and production operations/stability.


* Advanced proficiency in Java (and/or strong proficienc...