Senior Software Engineer (AI/ML) - Vice President

Morgan StanleyNew York, NY
$150,000 - $210,000

About The Position

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. 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.

Requirements

  • 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

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

Benefits

  • Comprehensive employee benefits and perks in the industry
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