Sr. Cloud Solution Architect - Cloud & AI
Microsoft · Posted Sep 23
Software, cloud computing, artificial intelligence, and hardware services
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About the role
The Customer Experience and Success (CE&S) organization at Microsoft is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, and is responsible for all up services across the company, including consulting, customer success, and support. As part of the Cloud + AI Apps team, the Cloud Solution Architect will help customers bring their AI-powered applications to production scale on Azure, leading technical engagements across design, build, and operations. The role owns delivery excellence, consumption growth, and production readiness of mission-critical workloads while contributing to reusable IP. This is a customer-facing role requiring deep expertise in Azure AI, App Services, GitHub, and data platforms.
What you will do
- 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.
- Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers.
- Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability.
- 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.
- Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.
Skills used in this role
What the employer is looking for
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years 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 Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
- OR equivalent experience
- 8+ years experience working in a customer-facing role (e.g., internal and/or external).
- 8+ years experience working on technical projects
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Preferred qualifications
- Hands-on experience with open-source LLMs such as Llama, Mistral, DeepSeek, Qwen, and Gemma for building enterprise-grade GenAI solutions.
- Design and implementation of RAG (Retrieval Augmented Generation) architectures using LangChain, LlamaIndex, vector databases (Milvus, Weaviate, pgvector), and enterprise knowledge sources.
- Building AI agents and agentic workflows using LangGraph, CrewAI, AutoGen, and MCP (Model Context Protocol) with integration into enterprise applications and business processes.
Benefits and support
- Reasonable accommodation due to a disability during the application process, as well as assistance with religious accommodations, is available.
- Equal opportunity employer: 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 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.
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
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