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.

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,

See also