JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, including coding, code review, test acceleration, and troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching senior engineers and leads on compliant usage patterns and controls.
Ability to solve design and functionality problems independently with little to no oversight.
Proficiency in Python and/or TypeScript, including building command-line interface tooling, application programming interface integrations, and data pipelines.
Experience solving complex technology problems and designing multi-step AI workflows, including sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints.
Demonstrated experience building systems on top of large language model application programming interfaces, including endpoint integration, streaming, tool/function calling, and context management.
Ability to present and communicate effectively with senior leaders and executives.
Understanding of the business, including familiarity with JPMC's enterprise stack: Cloud Foundry, GKP, Jules CI/CD, TrueCD, and Sophia authentication.

Responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure, high-quality production code, and review and debug code written by others.
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident/root-cause analysis; establish measurable validation standards for secure coding, peer review, and automated testing; and promote reuse of proven patterns and automation within the software development lifecycle/toolchain management toolchain.
Apply 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.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Serve as a function-wide subject matter expert in one or more areas of focus.
Contribute to the engineering community as an advocate of firmwide frameworks, tools, and Software Development Life Cycle practices.
Engineer and build production systems, and ship production-grade multi-agent AI systems used daily by thousands of engineers.
Work on an applied AI platform that automates key stages of the software delivery pipeline from product requirements through architecture, implementation, quality assurance, security, and retrospective at enterprise scale.
Own agent capabilities end-to-end, focusing on reliability, evaluation, observability, and cost per session.
Lead and mentor Software Engineers at varying levels.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking AI Production Architecture 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality 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.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Engineer and build production systems and ship production-grade multi-agent AI systems used daily by thousands of engineers
Work on an applied AI platform that automates key stages of the software delivery pipeline from PRD through architecture, implementation, QA, security, and retrospective at enterprise scale
Owner of agent capabilities end-to-end, with a focus on reliability, evaluation, observability, and cost-per-session
Leads and mentors varying levels of Software Engineers

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)
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
Ability to tackle design and functionality problems independently with little to no oversight
Proficient in (Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines)
Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines (including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints)
Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management)
Ability to present and effectively communicate with Senior Leaders and Executives
Understanding of the business including familiarity with JPMC enterprise stack (Cloud Foundry, GKP, Jules CI/CD, TrueCD, Sophia auth)

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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