AI Engagement Engineer Vice President

Morgan Stanley

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$155,000–$215,000 / yr
Posted
31 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $185k
$133k most similar roles pay here $232k

This role pays more than 58% of similar roles. Most pay $151,493–$222,000 — the shaded band above. At the midpoint, this role pays about $185k versus about $187k 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 38 open roles on FindRole.

Listed pay typically runs $150,000–$210,000 across 31 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 role sits at 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 developers use agentic AI capabilities safely and effectively in real workflows. Responsibilities include creating reusable examples, gathering feedback for product teams, and developing guidance for responsible usage across coding, testing, and refactoring. You will advocate for the developer perspective while building a community of champions. Required skills include software development experience with modern engineering workflows like CI/CD, proficiency with AI tools such as GitHub Copilot, Codex, Cursor, or Claude Code, and the ability to communicate complex technical concepts clearly within a regulated enterprise environment.

What you'll do

  • Conduct demos, workshops, office hours, and enablement sessions to engage developers with AI coding tools.
  • Identify practical use cases for AI tools across coding, testing, refactoring, documentation, and code review.
  • Create reusable examples, patterns, and guidance to accelerate the adoption of agentic AI capabilities.
  • Develop clear guidelines for the responsible and productive use of AI tools in a regulated environment.
  • Translate developer feedback into actionable insights for platform and product teams.
  • Produce enablement content including guides, FAQs, playbooks, and demo scripts for engineers and stakeholders.
  • Identify usage patterns and risks to inform training, communication, and support models.
  • Advocate for the developer experience when collaborating with risk partners and senior technology leadership.

What we're looking for

  • Experience in software development with exposure to modern engineering workflows like PRs, CI/CD, and developer tooling.
  • Practical experience using AI coding tools such as GitHub Copilot, Codex, Cursor, or Claude Code.
  • Ability to evaluate where AI tools add value versus where they introduce risk in a regulated environment.
  • Proficiency in leading demos, workshops, and enablement sessions for diverse audiences.
  • Strong written and verbal communication skills to synthesize feedback into actionable recommendations.
  • Ability to build trust with engineers through honest, practical, and technically grounded communication.
  • Comfort working within enterprise SDLC practices or regulated technology environments.

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