AI Cloud Solution Engineer
Morgan Stanley
In this role, you will help build an enterprise-wide AI Development Platform within the Technology Architecture & Modernization team to accelerate AI adoption across Morgan Stanley. You will design and onboard secure cloud services, develop reusable AI-enabled solutions, and enable developers through tooling and self-service capabilities. You will work with cross-functional teams and senior engineers to shape generative AI solutions and advance the firm’s modernization agenda. This is a hands-on, leadership-focused software engineering role with broad impact and visibility.
Pay / Benefits- attractive employee benefits
- flexible working arrangements
- opportunity for cross-team collaboration
- global opportunities within Morgan Stanley
- Onboard and architect new cloud services aligned with security standards
- Build POCs and reusable code for accessing Gen AI models via standard APIs
- Develop and deploy scalable AI solutions and tooling for self-service deployment
- Collaborate on major design decisions and tool/library selection for generative AI ecosystems
- Enhance developer experience and document best practices for AI tooling and models
- Experience implementing enterprise architecture across major cloud providers (Azure, AWS, GCP)
- Strong Python development background with API frameworks (Flask or FastAPI)
- Experience with AI development services on cloud platforms (Azure OpenAI, Azure AI Foundry, Azure Cognitive Services, Terraform, AWS Bedrock, AWS SageMaker)
- Experience in building AI/Generative AI and LLM-based applications
- Experience deploying infrastructure via Terraform and CI/CD pipelines
- Experience designing scalable enterprise architectures
- At least 4 years of relevant experience
- Strong ability to influence development teams towards AI adoption
- ability to influence and leadengineering teams
- collaboration across cross-functional teams
- curiosity and drive for continuous learning
- Python (API development with Flask/FastAPI)
- Gen AI and LLM applications
- Cloud platforms: Azure, AWS, GCP
Reference: WJ-747_30219215