Principal AI Engineer - Vice President

Morgan Stanley; New York (NY); On-site; Full time

Job description

Overview

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.

We have multiple Software Engineering positions open at Associate, Director and VP levels, which are part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Morgan Stanley is a leading global financial services firm, providing investment banking, securities, wealth management, and investment management services in over 40 countries. The firm is recognized for its commitment to innovation, integrity, and delivering value to clients, shareholders, and communities worldwide.

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.

All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren’t just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world.

The Role

Join the LIFC Technology team to help modernize core accounting and P&L platforms used daily by Finance and Treasury. We are consolidating legacy and spreadsheet‑driven workflows into a single, cloud‑native web platform that supports reporting, exception analysis, accounting adjustments, and daily P&L sign‑off.

This role is ideal for strong backend engineers who enjoy working on data‑intensive, business‑critical systems and partnering closely with finance users.

Responsibilities

• Build and operate backend services using Java, Scala, and Python
• Deploy services on Databricks and cloud platforms
• Design secure, scalable APIs for finance workflows and analytics
• Collaborate with Finance, Product Control, and UI/reporting teams
• Apply strong engineering fundamentals (data structures, testing, code quality)
• Learn and apply new technologies, including AI/ML and prompt‑based approaches, where they add value

Qualifications

• 10+ years of strong backend engineering experience
• Solid grasp of data structures, algorithms, and system design
• Experience with data‑heavy or workflow‑driven systems
• Ownership mindset and willingness to learn

Why Join

• Work on core finance systems with real business impact
• High‑visibility role with platform and architectural influence
• Collaborative team modernizing critical finance workflows

Tech Stack at a Glance

• Backend: Java, Scala, Python
• Data / Compute: Databricks
• Cloud: Cloud‑native services & deployments
• Frontend / Reporting: Angular, Power BI, Tableau
• Focus Areas: Accounting workflows, P&L, controls, data quality, AI‑assisted analytics

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.

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.

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