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Executive Director - Director of Software Engineering

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-09-28
Job specializations:
  • Software Development
    Software Project Mgr/ Lead, Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorgan

Chase within the Asset & Wealth Management you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

We are seeking an Executive Director to lead a Software Engineering team within Wealth Management Technology, with a mandate to embed applied AI and modern engineering practice into how the business builds software. This is a hands‑on, fast-moving leadership role: the successful candidate will build and run a high‑performing engineering organization, apply generative AI and AI‑assisted development tools as a core part of how the team ships software, and serve as the Atlanta site lead for AWM Technology—recruiting local talent, shaping engineering culture, and establishing Atlanta as a center of engineering excellence.

AWM technology moves fast; we are looking for an energetic, technically fearless leader who can operate at that speed and bring others along with them.

Job responsibilities
  • Serve as the site lead for AWM Technology in Atlanta, acting as the face of the organization for the local site and a key partner to firmwide site leadership
  • Own local talent strategy: recruit, hire, and build a high-performing engineering team in the Atlanta market; build the pipeline and brand needed to make Atlanta a magnet for top engineering talent
  • Shape and promote a strong local engineering culture — instill engineering principles, technical excellence, and a builder mindset across the Atlanta site
  • Foster energy, speed, and accountability consistent with AWM's fast‑paced operating environment; create an environment where engineers want to stay, grow, and do their best work
  • Represent the Atlanta site in cross-regional planning, resourcing, and culture-building efforts alongside other AWM Technology site and functional leaders
  • Lead a software and data engineering teams delivering production‑grade systems for Wealth Management, holding an uncompromising bar for code quality, testability, observability, and maintainable architecture
  • Drive adoption of AI‑enabled practices across the engineering lifecycle—from AI‑assisted development tools to embedding AI capabilities into products that accelerate delivery of customer and business features, as force multipliers for the team (not one‑off experiments).
  • Set technical direction and review architectural decisions, balancing classical software engineering rigor with the speed and possibilities of the GenAI era
  • Establish and enforce engineering standards, playbooks, and best practices (CI/CD, code review, testing, observability, where applicable) to raise the bar for delivery quality and velocity
  • Partner with senior business and technology stakeholders to shape requirements, bridge business and engineering, and ensure delivery of strategic initiatives on time and on‑strategy
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 7+ years applied experience
  • Hands‑on engineering leadership role; experience in financial services / Wealth Management is a plus
  • Strong software engineering fundamentals — proven ability to guide architectural decisions, enforce code quality standards, and design for reliability and scale
  • Hands‑on familiarity with applied AI / generative AI and…
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