Overview
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 Senior 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. Our customers are longing for your support to help them get their data ready for AI!
Role and responsibilities
As a Senior 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.
Key opportunities
- deepen your AI apps expertise—from prompt engineering and retrieval patterns to responsible AI and cost governance—across complex, multi-geo enterprises.
- develop solid business acumen linking architectural decisions to measurable value and consumption growth, and
- 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 tempo parziale 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.
- Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases.
- Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers.
- 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.
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.
- Sound 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.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Software Development
Referrals increase your chances of interviewing at Microsoft by 2x
Sign in to set job alerts for “Senior Solutions Architect” roles.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr