Sr Lead Software Engineer - Agentic AI

Be an integral part of Asset & Wealth Management (AWM) Technology, where you will help shape the future of Private Bank digital platforms through engineering excellence, intelligent automation, and AI-driven innovation.

As a Senior Lead Software Engineer for Agentic AI at JPMorganChase within the Asset & Wealth Management (AWM) Technology organization, 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.

As an Agentic AI Senior Lead Software Engineer within AWM, Private Banking Web, you will lead the development of production-grade solutions that harness agentic AI, large language models, and automation to elevate how advisors and clients experience Private Banking. Partnering with product, design, architecture, cybersecurity, and data teams, you will solve complex business challenges, accelerate delivery, and drive measurable impact for one of the world's most influential financial institutions.

Job responsibilities

-
Lead full-stack design, development, and delivery of secure, scalable Private Banking Web applications across front-end, back-end, service, data, and cloud tiers

-
Build high-quality production software using Python, Java, modern web technologies, RESTful APIs, microservices, and event-driven architecture

-
Develop responsive and reliable web experiences that integrate user interfaces, APIs, business services, data platforms, and enterprise systems

-
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.

-
Architect agentic AI solutions that leverage LLMs, AI agents, orchestration frameworks, tool calling, workflow automation, and enterprise data sources

-
Integrate AI-enabled capabilities that enhance personalization, search, insights, recommendations, and self-service across Private Banking Web experiences