Developer Engagement Engineer - VP

We are seeking a hands-on Developer Engagement Engineer to join the Firmwide developer tools group, MSDE.  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 Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. 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. 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., GitHub 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 toward action, experimentation, and practical outcomes Comfort with evolving tools, policies, and best practices Collaborative approach across teams, regions,