AI Cloud Solution Engineer - Vice President

Morgan Stanley • New York, NY

20h

About The Position

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.

Requirements

• Enterprise experiences working with at least 1 cloud provider, Azure, AWS, GCP
• Experience deploying resources to the cloud via terraform and CI/CD pipelines
• Experience designing and implementing highly scalable architecture for enterprise applications
• Strong hands-on development background in Python, additional languages are a bonus
• Ability to create code samples for baseline implementations.
• Demonstrated experience in DevOps, understanding of CI/ CD.
• Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively in a global organization and across time zones.
• Understanding of information security and secure coding practices.
• Strong skills in documentation and organization.

Nice To Haves

• Knowledge of LLM models and hands-on experience implementing solutions using Generative AI are also preferable.
• Relevant Microsoft, AWS, GCP, or Terraform certifications a plus.

Responsibilities

• 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

Benefits

• Morgan Stanley sponsored benefit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Associate degree
• Number of Employees: 5,001-10,000 employees