AI Cloud Solution Engineer

We're seeking someone to join our Technology Architecture & Modernization (A+M) team as an AI Cloud Solution Engineer in Operation Technology to 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.

Morgan Stanley is advancing AI across the firm through applications such as Genome and AI@MS Assistant, helping deliver more personalized advice to clients while creating new opportunities to enhance capabilities for both internal users and clients.

Technology Architecture & Modernization (A+M) sits at the center of Morgan Stanley's technology strategy, bringing together architecture, product delivery, and developer enablement to advance the Firm's multi-year modernization roadmap. As the group grows, this role offers the opportunity to solve complex, high-impact challenges with broad visibility across Technology and to collaborate with high-performing, multidisciplinary teams, including Distinguished Engineers.

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 a Software Engineer position at Director level, which is 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.

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 product selection for building generative AI solutions.

Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer's experience when building and deploying AI applications.

Document best practices on generative AI ecosystems, when to use which tools, available models such as GPT, Llama, Claude, etc. and libraries such as Langchain and Sematic Kernel.

What you'll bring to the role

Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP).

Bachelor's or a master's degree in computer science or related field, or equivalent job experience.

Strong hands-on development background in Python (specifically API based development in Flask or FastAPI), additional languages are a bonus.

Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, Terraform, AWS Bedrock, AWS Sagemaker, Gemini enterprise agent platform.

Experience building AI applications, preferably Generative AI and LLM based apps.

Experience deploying resources to the cloud via terraform and CI/CD pipelines

Experience designing and implementing highly scalable architecture for enterprise applications

Strong desire and ability to influence development teams and help them adopt AI.

At least 4 years' relevant experience would generally be expected to find the skills required for this role.

#GLTECH

#LI-LM1

WHAT YOU CAN EXPECT FROM MORGAN STANLEY

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements

If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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