We’re seeking someone to join our AI Clouds Services team as an AI Cloud Solution Engineering Specialist in Architecture & Modernization 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.

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 Engineering III position at Director level, which is part of the job family responsible for 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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

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

• 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.

• 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:

• At least 4+ years of experience in enterprise software engineering, design, and development

• At least 4+ years of 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, AWS Bedrock, AWS Sagemaker, Google Vertex AI.

• 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

• 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.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.