AI Cloud Solution Engineer - Vice President

Company: Morgan Stanley

Location: New York, NY 10036

Salary: $150,000 - $210,000 a year

Type: Full-time

Posted: 2026-04-27

About this role

We're seeking someone to join our Enterprise Technology team as an AI Cloud Solution Engineer , in Architecture & Modernization who will help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building secure cloud services, software platforms, API based development, etc. Knowledge of LLM models and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements.


This role requires a strong combination of both software development and cloud infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions.





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.




This is Director position that develops and maintains 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.




What you'll do in the role:


> Collaborate with other engineers and teams to onboard new cloud services to Morgan Stanley Architect new cloud solutions for new use cases consistent with Morgan Stanley security standards.

> Build POC's and example code through which developers can access Gen AI models via standard APIs.

> Have an application developer mindset and build common, reusable solutions to scale generative AI use cases.

> Contribute to major design decisions and prod Required Skills.

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