Developer Engagement Lead - AI Coding Tools - MSDE - Morgan Stanley

We’re seeking someone to join our team as hands-on Developer Engagement Lead to join the Firmwide developer tools group, MSDE.

MSDE is responsible for shaping the SDLC within Morgan Stanley by implementing the tools, systems, and processes used by 25,000+ developers in the Firm for software development and deployment.

This role sits at the intersection of software engineering, developer experience, and AI coding tool adoption. You'll help ensure developers don't just get access to agentic AI capabilities — they use them well, safely, and meaningfully in real workflows.

You'll work with engineering teams, platform owners, risk partners, and senior technology leaders to scale adoption across the firm. The ideal candidate is a hands-on developer who enjoys helping others succeed, explains technical concepts clearly, and thrives in ambiguity and fast-moving change.

This is an opportunity to shape how a global engineering organization adopts one of the most significant shifts in software development. You'll be close to developers, close to the tools, and close to the real-world challenges of using them well in a complex enterprise environment. If you're excited by AI coding tools and want to play a visible role in changing how software gets built, this role offers a unique combination of technical depth, influence, and organizational impact.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is a Lead position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

Engage Developers

Run demos, workshops, office hours, and enablement sessions

Help teams identify practical use cases for AI coding tools across coding, testing, refactoring, documentation, and code review

Create reusable examples, patterns, and guidance that accelerate adoption

Gather developer feedback and translate it into actionable insights for platform and product teams

Drive Practical Adoption

Develop clear guidance for responsible, productive use of AI coding tools

Help teams distinguish where agentic AI accelerates work from where human judgment remains essential

Surface and share successful usage patterns across teams and business areas

Partner with engineering leaders to identify blockers and define what good usage looks like in a regulated enterprise

Advocate for Developers

Represent the developer perspective in discussions with platform, tooling, risk, training, and leadership teams