Sr. Cloud Solution Architect - AI & Apps

Microsoft Microsoft · Big Tech · Mumbai, MH, IN +1 · Cloud Solution Architecture

This role is for a Sr. Cloud Solution Architect focused on helping customers deploy AI-powered applications at scale on Azure. The architect will lead technical engagements across design, build, and operations, focusing on Azure AI, App Services, GitHub, and data platforms. Responsibilities include designing scalable solutions, leading POCs/MVPs, ensuring production readiness, and contributing to reusable IP. The role requires deep technical expertise in Azure and AI services, customer-facing experience, and the ability to drive adoption and deliver successful deployments.

What you'd actually do

  1. 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.
  2. 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.
  3. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
  4. Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities.
  5. Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes.

Skills

Required

  • 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
  • 8+ years experience working in a customer-facing role
  • 8+ years experience working on technical projects
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)

Nice to have

  • Azure AI Foundry
  • AKS
  • App Service
  • Cosmos DB
  • Azure SQL
  • PostgreSQL
  • APIM
  • GitHub

What the JD emphasized

  • production scale
  • production readiness
  • mission-critical workloads
  • production-scale AI use cases

Other signals

  • customer-facing role
  • production scale on Azure
  • Azure AI
  • technical engagements
  • architecture design
  • Proof of Concepts (POCs)
  • Minimum Viable Products (MVPs)
  • production readiness
  • mission-critical workloads
  • customer skilling
  • technical workshops
  • readiness activities
  • solution performance, maintainability, and reliability
  • deep technical expertise
  • Azure, AI, GitHub, and cloud-native development trends
  • advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub