We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Vice President - Engineering Advocacy Lead at JPMorgan Chase within the Payments Engineering & Architecture team, you're responsible for how 10,000 Payments engineers adopt architecture standards and AI-assisted development practices. You won't do this from a distance - you'll be embedded with teams, writing code, running gemba walks, presenting at tech talks, and writing blogs. Advocacy through action, not announcements. Payments moves $10 trillion every day for the world's leading companies - the engineering challenges are real, and so is the opportunity to shape how we build.
Job responsibilities
- Embeds within Payments application teams as a contributing engineer, committing real changes to production codebases
- Pairs with engineers to solve complex problems and model best practices in architecture, code quality, and operational excellence
- Conducts gemba walks across teams to understand real challenges, build relationships, and identify opportunities for improvement
- Identifies patterns that work and helps teams adopt them while spotting anti-patterns early and coaching toward better solutions
- Connects dots across teams, sharing what's working in one area with others to accelerate learning
- Contributes to architecture standards that are practical and grounded in real implementation experience
- Presents at weekly tech talks to share learnings, new approaches, and emerging technologies
- Writes blogs and educational content that helps engineers learn (authentic, practical, accessible)
- Champions AI-assisted development including GitHub Copilot, Claude Code, and emerging tools
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Track record of influencing engineering practices beyond your immediate team
- Experience working across multiple teams or as a technical lead in a large corporate environment
- Evidence of teaching, mentoring, or community contribution (internal or external) including presentations, blogs, or training
- Demonstrated ability to explain complex technical concepts simply to diverse audiences
- Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
- Strong written and verbal communication skills with experience creating technical content
- Overall knowledge of the Software Development Life Cycle with solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar
- Familiarity with Payments domain or high-volume transaction processing systems
- Experience conducting architecture reviews or serving in an advisory capacity across teams
- Track record of public speaking at meetups, conferences, or internal tech talks along with experience writing technical blogs or educational content
- Ability to adapt to fast-paced environment with changing requirements while maintaining focus on engineering excellence
- Comfort with ambiguity and a bias toward action over perfection