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.
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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.
