Principal AI Engineer Vice President

Morgan Stanley

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$210,000 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $180k
$135k most similar roles pay here $276k

This role pays less than 67% of similar roles. Most pay $169,350–$244,362 — the shaded band above. At the midpoint, this role pays about $180k versus about $207k 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.

Most-posted roles

View all roles at Morgan Stanley

At a glance

TL;DR · Principal AI Engineer Vice President

As a Principal AI Engineer - Vice President within the LIFC Technology team, you will help modernize core accounting and P&L platforms used by Finance and Treasury. You will be responsible for consolidating legacy and spreadsheet-driven workflows into a single, cloud-native web platform to support reporting, exception analysis, and daily sign-offs. Your day-to-day work involves building and operating backend services using Java, Scala, and Python while deploying on Databricks and other cloud platforms. You will design secure, scalable APIs for finance workflows and collaborate with product control and UI teams. The role requires expertise in data structures, algorithms, system design, and AI/ML prompt-based approaches. This position addresses the technical challenge of transforming complex, data-heavy financial processes into streamlined digital systems while ensuring high data quality and robust architectural integrity across critical business functions.

What you'll do

  • Build and operate backend services using Java, Scala, and Python.
  • Deploy services on Databricks and other cloud platforms.
  • Design secure and scalable APIs for finance workflows and analytics.
  • Modernize core accounting and P&L platforms by consolidating legacy systems into a cloud-native web platform.
  • Apply engineering fundamentals including data structures, testing, and code quality to business-critical systems.
  • Integrate AI/ML and prompt-based approaches where they add value to the technology stack.
  • Partner with Finance, Product Control, and UI teams to support reporting and exception analysis.

What we're looking for

  • Must have 10+ years of strong backend engineering experience.
  • Must possess a solid grasp of data structures, algorithms, and system design.
  • Experience with data-heavy or workflow-driven systems is required.
  • Proficiency in building and operating backend services using Java, Scala, and Python.
  • Ability to deploy services on Databricks and other cloud platforms.
  • Skill in designing secure, scalable APIs for finance workflows and analytics.
  • Commitment to engineering fundamentals including testing and code quality.
  • Willingness to learn and apply new technologies like AI/ML and prompt-based approaches.

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