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Applications Cloud Solution Architect

Microsoft

Espoo, Uusimaa, FinlandOn Site

Original Job Summary

Overview

Join Microsoft Cloud & AI team as a Cloud Solution Architect to help customers maximize their potential by delivering practical, AI-enabled cloud solutions on Azure.

Role Responsibilities

As the technical leader, you will:

  • Partner with IT Executives and business leaders to shape Cloud and AI strategy.
  • Lead architectural design sessions and guide secure, scalable, resilient solution implementations.
  • Drive technical excellence across Azure workloads and ensure production-scale AI readiness.
  • Accelerate customer outcomes with repeatable IP and effective problem resolution.
  • Mentor peers and contribute to Microsoft’s technical communities.
  • Guide customer adoption of AI and support transformation journeys.

Qualifications

Required: Extensive hands-on experience in building cloud-native AI/ML solutions on Azure using services like Azure OpenAI, Azure Machine Learning, GitHub, and Azure App Platform services. Proven ability to deliver end-to-end cloud-native AI applications, excellent stakeholder management, and fluency in English and Finnish.

Preferred: Expertise in Azure Kubernetes Service, Cosmos DB, event-driven architectures, secure DevOps, and mentoring in cloud-native and AI domains.

Key Skills/Competency

  • Azure AI
  • Cloud-Native Applications
  • Architectural Design
  • Secure Solutions
  • Stakeholder Management
  • Azure Services
  • GitHub/Copilot
  • Scalability
  • Resilience
  • Mentoring

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume for Microsoft Cloud roles.
  • Leverage Keywords: Highlight Azure AI and cloud-native skills.
  • Showcase Experience: Emphasize production-scale AI projects.
  • Research Microsoft: Understand Microsoft culture and customer success focus.
  • Prepare for Interviews: Be ready with technical and behavioral examples.

📝 Interview Preparation Advice

Technical Preparation

Review Azure AI services documentation.
Practice cloud-native design patterns.
Test deployment on Azure platform.
Study Microsoft Well-Architected Framework.

Behavioral Questions

Describe your leadership in technical projects.
Explain conflict resolution experiences.
Discuss stakeholder management methods.
Share experiences with mentoring colleagues.