Senior Director of Software Engineering - AI Development | Engineering Services & Platforms

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorganChase for Engineering Services & Platforms within the Chief Technology Office (CTO), you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances. As the Senior Director of Software Engineering y ou will work on a rare greenfield opportunity to solve for one of the fastest-growing threats in enterprise technology - Software Dependency Risk. As AI-assisted development accelerates the adoption of open-source and commercial packages across the firm, understanding what software your applications depend on — and whether it's healthy, secure, and compliant — has never been more critical. JPMorgan Chase's answer to that challenge: a firm-wide platform that gives 60,000 developers and their engineering leaders visibility into the dependency health of 6,000+ applications. We are past ideation and into the market — an early product in hand, the roadmap ahead, and a mandate to build something that becomes foundational infrastructure for how the firm manages software risk at scale.

Build and lead the engineering team. Own the engineering organization for Dependency Explorer end-to-end — hiring, structure, culture, and performance. Lead and grow a team of engineers and engineering managers; this role is designed to scale into a managers-of-managers structure as the platform grows. Partner closely with product managers and designers distributed across the US and UK to ship a cohesive, high-quality product Demonstrated experience building and scaling engineering teams — ideally including the transition from a small founding team to a multi-manager organization. Drive the platform roadmap Lead delivery of the core platform build-out: data ingestion pipelines, dependency graph modeling, developer-facing surfaces, and firm-wide integration. Make and own key architectural decisions on a modern AWS and Java stack. Navigate the complexity of building at firm-wide scale — thousands of applications, dozens of lines of business, diverse ecosystems Build an AI-first engineering culture Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Build an agentic-first development practice — where AI tools (including Claude) are embedded into how the team designs, codes, reviews, and ships. Hire engineers who are excited by this model and coach those who are learning it. Set the standard for what a high-performing, AI-augmented engineering team looks like inside a regulated, large-scale enterprise Lead with influence across the organization Operate as a senior engineering voice, building relationships and credibility across teams beyond your direct organization. Represent engineering in cross-functional discussions with security, risk, compliance, and firm-wide platform partners. Engage with senior stakeholders with clarity and conviction — translating deep