AI Cloud Solution Engineer

Overview

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

Responsibilities

• 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

Key requirements

• 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

…