AI 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 JPMorganChase within the Consumer & Community Banking Small Business Lending 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



* Drive the technical strategy and delivery of a Lending platform, embedding AI-native capabilities (agentic workflows, LLM-powered features) into core product experiences.


* Leads multiple technology implementations across departments to achieve firmwide technology objectives.


* Directly manages multiple areas with strategic transactional focus.


* Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.


* Manage multiple stakeholders, complex projects, and large cross-product collaborations.


* Influences peer leaders and senior stakeholders across the business, product, and technology teams.


* 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


* Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills



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


* Proven track record using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate development cycles, and ability to coach teams to adopt these tools as standard practice.


* Experience designing and deploying agentic systems (e.g., LLM-powered agents, multi-step reasoning workflows, tool-using AI) in production environments.


* Drives adoption of an AI-augmented engineering culture-setting standards, running experiments, and building team confidence as tooling and best practices evolve in real time.


* Deep expertise in system design, application development, testing, and operational stability for commercially used platforms web and/or mobile.


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