AI Cloud Solution Architect
Location: Charlotte, NC (Onsite/Hybrid )
Experience: 8–10 Years
Required Qualifications
· 8–10 years of software engineering, solution architecture, or application architecture experience.
· Strong hands-on C#/.NET and Core experience.
· Strong Microsoft Azure architecture experience, including Azure App Service.
· Strong REST API and enterprise integration experience.
· Working knowledge of React/Next.js and TypeScript.
· Experience with Docker, Git/GitHub, CI/CD, and modern software engineering practices.
· Strong understanding of authentication, authorization, API security, cloud security, scalability, and resiliency.
· Strong troubleshooting, architecture review, communication, and technical leadership skills.
AI Experience
Candidates should have hands-on experience with several of the following:
· Azure OpenAI / OpenAI APIs and enterprise LLM applications
· AI agents, agentic workflows, and tool/function calling
· Model Context Protocol (MCP)
· Retrieval-Augmented Generation (RAG), embeddings, vector/hybrid search, and Azure AI Search
· Prompt engineering, structured outputs, agent orchestration, AI evaluation, and AI observability
· Prompt-injection protection and AI security controls
Preferred Qualifications
· Microsoft Foundry / Azure AI services; Microsoft Agent Framework or Semantic Kernel.
· Azure AI Search, Key Vault, Azure Container Apps, Application Insights, Azure Monitor, or OpenTelemetry.
· Python experience for AI workloads.
· Microsoft Graph, SharePoint, enterprise document-management, or knowledge-management integrations.
· Experience delivering applications in security-sensitive or regulated enterprise environments.
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