AI Cloud Solution Engineer
Morgan Stanley1 day ago
Glasgow, United KingdomStaff+
Responsibilities
- Collaborate with engineering teams to onboard new cloud services.
- Architect secure cloud solutions for new enterprise use cases.
- Build proof-of-concepts, example code, and standard APIs for accessing generative AI models.
- Develop reusable solutions and self-service tooling for deploying AI applications.
- Contribute to design decisions and product selection for generative AI solutions.
- Document generative AI ecosystem best practices, tool selection, available models, and libraries.
- Improve the developer experience for building and deploying AI applications.
Requirements
- Bachelor's or master's degree in computer science or a related field, or equivalent job experience.
- At least 4 years of relevant experience is generally expected.
- Hands-on Python development experience, particularly API development with Flask or FastAPI.
- Experience implementing enterprise architecture with Azure, AWS, or GCP.
- Experience with AI development services such as Azure OpenAI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS SageMaker, or Gemini enterprise agent platform.
- Experience building generative AI and LLM-based applications.
- Experience deploying cloud resources with Terraform and CI/CD pipelines.
- Experience designing highly scalable enterprise application architectures.
- Ability to influence development teams and support adoption of AI capabilities.
Benefits
- Flexible working arrangements are available.
- Morgan Stanley provides comprehensive employee benefits and perks and supports employees and their families.
- The role offers opportunities for career mobility across the business.
- The position includes collaboration with multidisciplinary teams and broad visibility across Technology.
Tech Stack
Categories
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.