Cloud AI Architect

• 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.
• Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms.
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
• Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities.
• Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes.
• Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects.
• Lead the health, resiliency, security, and optimization of mission‑critical workloads, ensuring readiness for production‑scale AI use cases.

Qualifications:

• 4+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• Proven experience architecting and implementing enterprise‑grade cloudnative solutions with AI capabilities – preferably pre‑existing knowledge of Azure.
• Proven experience implementing cloudnative applications in Python or .NET with generative AI capabilities.
• Solid experience in any of the following:
  • Azure AI Foundry (Models, Agent Service, Semantic Kernel, Search, ML, SDK)
  • Application Platform/Containers/Serverless (App Service, AKS, ACA, ARO, Functions)
  • GitHub (Copilot, Enterprise, Adv Security, Actions, Code spaces)
  • 3P GPU/AI Infra/BYOAIM
• Languages: Business fluency in Korean, English,