AI Agentic Sr Lead Software Engineer

Be an integral part of an agile team thats 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 establishingmeasurable 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 culturesetting 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 platformsweb and/or mobile.
• Deep expertise in building and operating large scale high performance digital applications (web and/or mobile) with distributed systems and cloud technologies (AWS GCP Azure etc.)
• Deep expertise with enterprise design patterns and industry best practices with experience using modern technologies and design patterns (e.g. micro services APIs etc.)
• Experience with building leading and mentoring technology teams and next level leaders within the organization.
• Experience with implementing industry standard cybersecurity & technology controls.

• 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

• Experience leading engineering culture transformation initiatives particularly dirving adoptio of AI tooling new development workflows or technical practice changes across distributed teams. Strong experience with Cloud providers (AWS GCP Azure)
• Strong experience with Cloud providers (AWS GCP Azure)