AI Engagement Engineer Vice President

Morgan Stanley

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$155,000–$215,000 / yr
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $185k
$131k $248k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $154,637–$236,812 — the blue band above. At the midpoint, this role pays about $185k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 40 open roles on FindRole.

Listed pay typically runs $154,000–$214,000 across 34 roles with salary data.

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View all roles at Morgan Stanley

At a glance

TL;DR · AI Engagement Engineer Vice President

The AI Engagement Engineer - Vice President joins the Firmwide developer tools group, MSDE, within the Technology division. This Software Engineering position at the Vice President level focuses on the intersection of software engineering, developer experience, and AI coding tool adoption. You will drive practical adoption by running demos, workshops, and enablement sessions to help engineers use agentic AI capabilities safely and meaningfully. Responsibilities include creating reusable examples, identifying use cases for coding, testing, and refactoring, and translating developer feedback into actionable insights. You must possess software development experience with modern engineering workflows like PRs and CI/CD. Required skills include practical experience with AI coding tools such as GitHub Copilot, Codex, Cursor, and Claude Code within a regulated enterprise SDLC environment.

What you'll do

  • Run demos, workshops, office hours, and enablement sessions to engage developers.
  • Identify practical use cases for AI coding tools across coding, testing, and refactoring.
  • Create reusable examples, patterns, and guidance to accelerate tool adoption.
  • Translate developer feedback into actionable insights for platform and product teams.
  • Develop clear guidance for the responsible and productive use of agentic AI.
  • Create enablement content including guides, FAQs, playbooks, and demo scripts.
  • Contribute to rollout planning, usage analysis, and continuous improvement of the adoption strategy.
  • Represent the developer perspective in discussions with risk, training, and leadership teams.

What we're looking for

  • Experience in software development with exposure to modern engineering workflows like PRs and CI/CD.
  • Practical experience with AI coding tools such as GitHub Copilot, Codex, Cursor, or Claude Code.
  • Ability to evaluate where AI tools add value and where they introduce risk.
  • Comfort leading demos, workshops, and enablement sessions for varied audiences.
  • Clear, credible written and verbal communication skills to synthesize feedback into recommendations.
  • Familiarity with enterprise SDLC practices or regulated technology environments (preferred).
  • Ability to build trust with engineers by being honest, practical, and technically grounded.
  • Genuine enthusiasm for AI coding tools and a bias toward action and experimentation.

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