Principal AI Engineer - Vice President

Morgan Stanley

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$210,000 / yr
Employment
Full-time
Posted
103 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $180k
$127k $291k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $168,750–$244,300 — the blue 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 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 · Principal AI Engineer - Vice President

The Principal AI Engineer - Vice President joins the LIFC Technology team to modernize core accounting and P&L platforms for Finance and Treasury. This role involves consolidating legacy and spreadsheet-driven workflows into a single, cloud-native web platform to support reporting, exception analysis, accounting adjustments, and daily P&L sign-off. You will build and operate backend services, design secure and scalable APIs for finance workflows, and collaborate with Finance, Product Control, and UI/reporting teams. The technical stack includes Java, Scala, and Python for backend development, with Databricks and cloud-native services for data and compute. You will apply engineering fundamentals like data structures and system design while exploring AI/ML and prompt-based approaches. The work focuses on data-heavy, business-critical systems and improving data quality for finance.

What you'll do

  • Build and operate backend services using Java, Scala, and Python.
  • Deploy services on Databricks and cloud-native platforms.
  • Design secure and scalable APIs for finance workflows and analytics.
  • Modernize core accounting and P&L platforms by consolidating legacy workflows.
  • Apply engineering fundamentals including data structures, testing, and code quality.
  • Implement AI/ML and prompt-based approaches to add business value.
  • Support reporting, exception analysis, and daily P&L sign-off processes.

What we're looking for

  • 10+ years of strong backend engineering experience.
  • Solid grasp of data structures, algorithms, and system design.
  • Experience with data-heavy or workflow-driven systems.
  • Ability to build and operate backend services using Java, Scala, and Python.
  • Experience deploying services on Databricks and cloud platforms.
  • Ability to design secure, scalable APIs for finance workflows and analytics.
  • Knowledge of engineering fundamentals including testing and code quality.
  • Ability to learn and apply AI/ML and prompt-based approaches (preferred).

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