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About the Role
Morgan Stanley is seeking an AI Cloud Solution Engineer to join the Technology Architecture & Modernization (A+M) team. This role will focus on building a firmwide AI Development Platform to support enterprise-wide AI adoption. The ideal candidate will have strong experience in secure cloud services, software platforms, and API-based development, with a passion for leveraging AI to enhance productivity and product innovation.
Responsibilities
- Collaborate with engineers and teams to onboard new cloud services.
- Architect new cloud solutions adhering to security standards.
- Build POCs and example code for accessing Gen AI models via standard APIs.
- Develop common, reusable solutions to scale generative AI use cases with an application developer mindset.
- Contribute to major design decisions and product selection for generative AI solutions.
- Develop tooling and self-service capabilities for deploying AI solutions.
- Collaborate with developers to enhance the developer experience for AI applications.
- Document best practices for generative AI ecosystems, tool selection, available models (e.g., GPT, Llama, Claude), and libraries (e.g., Langchain, Sematic Kernel).
Requirements
- Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP).
- Bachelor's or 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.
Skills
- Secure cloud services
- Software platforms
- API based development
- LLM models
- Generative AI
- Python
- Flask
- FastAPI
- Azure Open AI
- Azure AI Foundry
- Azure Search
- Azure Cognitive Services
- Terraform
- AWS Bedrock
- AWS Sagemaker
- Gemini enterprise agent platform
- CI/CD pipelines
- Scalable architecture
Location
- Hybrid
Work Type
- Full-time
Experience Level
- Director level
- At least 4 years' relevant experience
Education Level
- Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
Benefits
- Attractive and comprehensive employee benefits and perks
About the Company
- Morgan Stanley is a global leader in financial services, known for evolving and innovating to serve clients and communities in over 40 countries.
- Technology Architecture & Modernization (A+M) is central to Morgan Stanley’s technology strategy, driving architecture, product delivery, and developer enablement.
- The Technology division leverages innovation to build connections and capabilities that power the Firm.
- Morgan Stanley's values include putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back.
- The company supports employees and their families with comprehensive benefits and perks.
Equal Opportunity
- Morgan Stanley is an equal opportunity employer committed to building and maintaining a diverse workforce.
- Recruiting efforts reflect a strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on skills and talents.
- The workforce reflects a broad cross-section of global communities, bringing diverse backgrounds, talents, perspectives, and experiences.