Cloud Solution Architect (CSA) – Cloud & AI Apps

The International Customer Success Organization (iCSU) mission is to incubate, deliver and scale world-class customer success services for Microsoft’s most strategic, innovative, complex, and globally operating customers. Join our expanding and culturally diverse iCSU team as a Cloud Solution Architect (CSA) for AI Apps and help us build a future where customers come to us not only because we provide industry-leading, AI-enabling products and services, but also because we provide differentiated and connected customer experiences. You will become a valued member of our passionate, collaborative, and innovative team of experienced CSAs, who are looking forward to welcoming you in the fast-paced and dynamic Era of AI. Our customers are longing for your support to help them get their data ready for AI! 

As a Cloud Solution Architect, Cloud & AI Apps) in iCSU, you will design, land, and scale AI-powered application architectures across Azure (including Azure OpenAI Service, AI Services, AKS/Containers, Data & App Platform, and GitHub) to accelerate Microsoft Cloud consumption. You will lead Customer funded technical engagements, remove blockers, and industrialize reusable patterns and accelerators that bring scale, agility, and cross-solution coverage to our largest Global Accounts—coordinating delivery across international downstream locations for a seamless, globally coordinated customer experience. 
 

This opportunity will allow you to:  

1. deepen your AI apps expertise—from prompt engineering and retrieval patterns to responsible AI and cost governance—across complex, multi-geo enterprises.  
2. develop solid business acumen linking architectural decisions to measurable value and consumption growth, and  
3. hone delivery leadership by orchestrating cross-functional teams to ship secure, compliant, production-ready AI solutions at scale. 

We support hybrid work with the ability to work from home part-time up to 60%, aligned to customer time zones, key collaboration moments, and business needs.  

Responsibilities

• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. 
• Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. 
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. 
• Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. 
• Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. 
• Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. 
• Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. 
• Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. 
• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub.
• Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. 
• Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. 

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND solid experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting 
• OR equivalent experience 
• Proven experience architecting and implementing enterprise-grade cloud-native solutions with AI capabilities – preferably pre-existing knowledge of Azure. 
• Proven experience implementing cloud-native applications in Python or .NET with generative AI capabilities.  
• 1 years of experience in any of the following: 
• Azure AI Foundry (Models, Agent Service, Semantic Kernel, Search, ML, SDK) 
• Copilot Studio  
• AppPlat/Containers/Serverless (App Service, AKS, ACA, ARO, Functions) 
• Azure Integration Service (APIM, Logic Apps) 
• DevOps (CI/CD, Azure DevOps, DevSecOps)  
• GitHub (Copilot, Enterprise, Adv Security, Actions, Codespaces) 
• 3P GPU/AI Infra/BYOAIM 
• Data (Cosmos DB, Azure SQL, Azure Database for PostgreSQL) 
• Languages: Business fluency in English, additional languages like German, Italian, Spanish are a plus.