Level

Morgan StanleyPosted 1mo ago

AI Engagement Engineer - Vice President

AI Engagement Engineer - Vice President at Morgan Stanley scores 45 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

New York, New York, United States of AmericaexecutiveFull time$155k-$215k

AI in this role

claudecopilotcursorclaude-codecodex

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, and experience levels

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $155,000 and $215,000 for Vice President per year at the commencement of employment.  However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ClaudeCopilotCursorClaude CodeCodex

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used Copilot in your day-to-day work.
  3. What are the limits of Cursor that you've run into, and how did you work around them?
  4. What's a project where you used Claude Code hands-on?
  5. Walk me through how you've used Codex in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Claude, Copilot, Cursor, Claude Code, and Codex. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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