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Cloud Solution Architect

Microsoft· Cloud Solution Architecture
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Switzerland, ZürichFull-timePosted 4d ago

About the role

Cloud Solution Architect (CSA) to help customers move AI applications and agents from experimentation to production on Azure, leading technical engagements across architecture design, pilots, and production milestones, and accelerating adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms and modernization.

Responsibilities

  • Engage with customer IT and business leaders to understand their application, agent, data, and AI priorities, and design secure, scalable solutions that drive business value, customer confidence, and production adoption.
  • Lead technical engagements across architecture design, proof of concepts, pilots, and production milestones to accelerate adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms, app modernization, integration services, and supporting data services.
  • Own end-to-end technical delivery results for dispatched engagements, partnering with Customer Success Account Managers to ensure customer success plans, workload-level RACIs are complete, accurate, and feasible for delivery.
  • Generate incremental pipeline from each engagement, aligning acceleration programs and customer objectives.
  • Use and contribute repeatable IP, templates, frameworks, agents, and centralized IP development to achieve targeted customer outcomes, accelerate.
  • Provide delivery oversight and escalation support for key Factory engagements across AI Apps, agents, and app innovation projects, using acceleration programs (Eg. Factory) as a delivery differentiator to accelerate time-to-value.
  • Lead the health, resiliency, sovereignty, security, capacity management, and optimization of mission-critical workloads, including service and model retirements, to ensure readiness for production-scale AI and agent use cases.
  • Act as the Voice of the Customer by sharing adoption issues, capacity constraints, product gaps, deployment blockers, platform readiness feedback, and preview limitations with engineering teams to accelerate resolution and improve product outcomes.
  • Support customer and partner skilling through technical workshops, readiness activities, and guidance on AI Apps, agents, GitHub, app modernization, resiliency, and production readiness.
  • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities.
  • Maintain deep technical expertise in Azure AI Foundry, Copilot Studio, Agent365, Microsoft IQs, GitHub Copilot, GitHub Platform, app platforms, containers, serverless, integration services, DevOps, and supporting data and customer health workloads, while contributing to internal and external technical communities.
  • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.

Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND solid experience in AI, GitHub, Agentic DevOps, AI Agent development, cloud, developer, application platform, agents, or related technologies OR equivalent experience
  • Experience in information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

Skills

Required:AI, GitHub, Agentic DevOps, AI Agent development, cloud, developer, application platform, agents
Last updated Oct 23, 2026. Interested? Apply on the company site.

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