Full Stack Sr Lead Software Engineer

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 JPMorgan

Chase within the Asset and Wealth Management, 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.

We are seeking a visionary
Senior Lead Software Engineer with extensive experience of applied experience in software engineering and deep expertise in advanced AI and agentic system development. This leader will be responsible for architecting and delivering AI-native, autonomous agentic AI solutions that transform client onboarding and operational workflows across the organization. The ideal candidate brings a proven track record of designing production‑grade agentic AI frameworks — including multi‑agent orchestration, retrieval‑augmented generation (RAG) pipelines, dynamic tool‑use agents, and LLM‑powered reasoning systems — while building durable, reusable software frameworks leveraged across teams and functions.

They will serve as the organization's foremost subject matter expert on agentic AI, advising cross‑functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment, and will influence senior stakeholders across business, product, and technology on the strategic adoption of autonomous AI capabilities.

• 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 firm‑wide frameworks, tools, and practices of the Software Development Life Cycle

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Design, develop, and maintain scalable applications using Java/J2EE and/or Python, hands‑on experience with agentic AI frameworks, and deep knowledge of NLP, ML, and cloud‑native AI deployment on AWS (including Sage Maker and Bedrock).
• Experience leading AI‑powered products as a Product Owner or Product Manager is required, along with a strong understanding of financial services.
• Lead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models.
• Implement…