Developer Engagement Lead - AI Coding Tools - MSDE

Location: Greater London

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  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

Foster a community of AI coding tool champions and encourage cross-team knowledge sharing

Create Enablement Content Guides, FAQs, playbooks, demo scripts, workshop materials, and short-form updates for engineers and senior stakeholders

Prioritize clarity and usefulness over corporate polish

Shape the Adoption Strategy Contribute to rollout planning, usage analysis, and continuous improvement

Identify patterns, success stories, and risks to inform training, communications, and support models

What you’ll bring to the role:

Technical Experience Software development experience with exposure to modern engineering workflows (PRs, CI/CD, developer tooling)
Practical experience with AI coding tools (e.g., Git Hub Copilot, Codex, Cursor, Claude Code)
Ability to evaluate where AI tools add value — and where they introduce risk Familiarity with enterprise SDLC practices or regulated technology environments is a plus Engagement & Communication Comfort leading demos, workshops, and enablement sessions for varied audiences

Clear, credible written and verbal communication

Ability to synthesize feedback and usage patterns into recommendations

Skill in building trust with engineers by being honest, practical, and technically grounded

Mindset

Genuine enthusiasm for AI coding tools and curiosity about how developers work

Bias…