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Sr. Cloud Solution Architect - Cloud & AI

Microsoft· Cloud Solution Architecture
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Mumbai, IndiaFull-timePosted 3mo ago

About the role

Cloud Solution Architect for CE&S to help customers bring AI-powered applications to production scale on Azure, leading technical engagements across design, build, and operations with focus on Azure AI, App Services, GitHub, and data platforms.

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.
  • 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.
  • 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.

Qualifications

  • 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)

Skills

Required:AzureApp ServicesAKSCosmos DBGitHubGenAI
Last updated Sep 24, 2026. Interested? Apply on the company site.

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