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Cloud Solution Architect - AI Business Solutions

Microsoft

Mumbai, Maharashtra, IndiaOn Site

Original Job Summary

Overview

Microsoft is seeking a Cloud Solution Architect - AI Business Solutions who specializes in cloud-based endpoint management and virtualization solutions. The role focuses on driving customers' AI transformation and enabling secure, AI-enhanced workplace experiences.

Responsibilities

As a trusted advisor, you will:

  • Create business value by translating customer challenges into actionable solutions.
  • Lead architectural design and engage with business and technical leaders.
  • Partner with technical and sales teams to drive expansion opportunities.
  • Accelerate the customer cloud and AI endpoint journey through community engagement.
  • Maintain technical readiness aligned to Microsoft Customer Success Unit priorities.

Qualifications

Requirements include relevant degree, extensive experience in cloud/infrastructure technologies, customer-facing roles, and technical certifications. Familiarity with Windows 365, Azure Virtual Desktop (AVD), Intune, MW Core WLs (Teams, SPO), Security WLs (MDE, DLP), PowerShell, and Graph API is essential.

Key skills/competency

Cloud, AI, Endpoint Management, Virtualization, Windows 365, AVD, Intune, PowerShell, Graph API, Customer Success

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize your resume: Highlight cloud and AI expertise.
  • Emphasize certifications: Detail Azure and endpoint credentials.
  • Research Microsoft: Understand culture and technical innovations.
  • Prepare for technical interviews: Practice architectural design scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review cloud solutions and architecture design.
Practice PowerShell scripting and API integrations.
Study Windows 365, AVD, and Intune platforms.
Update knowledge on virtualization and endpoint security.

Behavioral Questions

Describe past customer engagement experiences.
Explain problem solving in technical projects.
Discuss managing multi-stakeholder communication.
Share examples of rapid technical learning.