Build and deploy AI and software solutions using LLM-based systems and cloud AI platforms, validate quality and performance, and deliver projects end to end. Travel up to 25%.
About this role
This Cloud & AI Infrastructure Solution Engineer sits in Microsoft's Solution Engineering organization and supports commercial customers with Azure deployment decisions. The role focuses on modernizing platform estates—applications, databases, security, networking, hardware, and software—through hybrid and sovereign cloud architectures.
The engineer leads technical workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Work includes migrating Windows, Linux, and Oracle workloads; applying 6R modernization and containerization; and designing virtual networks, VPNs, secure routing, and hybrid connectivity with AKS and Azure Container Apps.
Applicants need five or more years of technical pre-sales or technical consulting experience, or the stated degree-and-experience equivalent. Required experience covers cloud infrastructure and workload migration, hybrid networking or secure connectivity, hands-on use of Windows Server, Linux, SQL Server, PostgreSQL, AKS, Azure Container Apps, Defender for Cloud, GitHub Copilot, and Agentic tooling, plus technical engagements that produce production-scale outcomes.
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