Senior Lead Software Engineer - AI

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 Corporate Technology - Engineering and 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.

You will deliver reusable, production-grade software that advances Corporate Technology outcomes across GenAI adoption, innovation-to-production conversion, and governance transparency.

This role is accountable for building scalable solutions that reduce duplicate effort, accelerate cycle time, and deliver finance-validatable capacity shift.

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.


* Build and operate secure, resilient services that support discovery, reuse, and delivery at enterprise scale.


* Convert high-potential ideas into production deployments through stage-gated engineering execution.


* Embed governance, auditability, and controls into the full software lifecycle.


* Design for reuse before rebuild by publishing and maintaining shared patterns, APIs, and implementation templates.


* Partner across architecture, security, SRE, testing, product, and data to deliver measurable business outcomes.

Required qualifications, capabilities, and skills


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


* Lead technical design and implementation for platform services and workflow integrations.


* Build capabilities that improve discoverability of existing assets and ownership to reduce parallel delivery.


* Deliver automation that improves engineering speed, first-pass quality, and operational reliability.


* Implement telemetry...