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

Senior Director Of Software Engineering

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 JPMorgan

Chase 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 you 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.

Job Responsibilities

• Build and lead the engineering team.
• Drive the platform roadmap
• Build an AI-first engineering culture
• Lead with influence across the organization

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
• Proven track record of shipping Version 1 products: taking something from concept through first release into iterative improvement
• Genuine enthusiasm for and practical experience with AI-first development practices — using LLMs and agentic tools to accelerate software delivery
• Experience developing or leading large or cross-functional teams of technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience - AWS

Preferred Qualifications, Capabilities, and Skills

• Experience in customer-facing, data-intensive products — you understand what it means to build for people who depend on your platform to do their jobs
• Financial services or other regulated industry experience is a plus, not a requirement — intellectual honesty, rigor, and comfort with compliance constraints matter more than a specific industry background
• Low ego, high ownership: you can influence without authority, build relationships across a complex organization, and stay close to the work.