Cloud Solution Architect - AI Apps

Microsoft Microsoft · Big Tech · RS, Portugal +1 · Cloud Solution Architecture

This role focuses on helping customers deploy and scale AI-powered applications on Azure. The Cloud Solution Architect will lead technical engagements, design solutions, ensure production readiness, and contribute to reusable intellectual property. The role involves collaborating with customer executives and engineers to drive business value and adoption of Azure AI services.

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, Microsoft Foundry, 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 actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise priorities.
  5. Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes.

Skills

Required

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
  • experience in cloud/infrastructure technologies
  • information technology (IT) consulting/support
  • systems administration
  • network operations
  • software development/support
  • technology solutions
  • practice development
  • architecture
  • consulting

Nice to have

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

What the JD emphasized

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