at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Senior Lead Software Engineer** at JPMorganChase in Columbus, OH, plays a pivotal role in a high-performing agile team. This senior-level position drives technological enhancements and deliveries for the Consumer & Community Banking AI Production Architecture team. Key responsibilities include: - **Technical Guidance:** Provide direction to teams, contractors, and vendors. - **Code Development & Review:** Produce secure, quality code and streamline those developed by others. - **AI-Driven Practices Adoption:** Champion AI-assisted development and automation across teams to enhance quality, speeds, and operational outcomes. - **SDLC Toolchain Knowledge:** Leverage tools to amplify automation's impact at scale. - **Product Design Influence:** Shape product functionality and technical operations. - **Subject Matter Expertise:** Deep understanding in one or more focus areas. - **Mentorship:** Lead and cultivate Software Engineers. - **AI Platform Development:** Engineer and deploy multi-agent AI systems, automate the software delivery pipeline. - **Agent Capability Ownership:** Ensure reliability, evaluation, observability, and cost control. Candidates must possess: - **5+ Years Experience:** In software engineering with delivery and operational stability focus. - **Advanced Programming Skills:** Proficiency in Python and/or TypeScript, with proven design and function problem-solving abilities. - **AI-assisted Tools Experience:** Demonstrated use in enterprise environments. - **Strong Communication:** Ability to collaborate and present to senior leaders and executives. - **Business & Tech Understanding:** Familiarity with JPMC's enterprise stack.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Columbus, OH, United States
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
- 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)
