AI Architect

Key responsibilities:

- Architect, design, and deliver GenAI-enabled solutions on Microsoft Azure

- Develop cloud-native applications using Azure Functions, Web Apps, and auto-scaling technologies

- Build and manage infrastructure as code (Bicep templates) with security and compliance baked in

- Design, publish, and secure APIs using Azure API Management, .NET/C#, and FastAPI

- Integrate Azure OpenAI Services, AI Search, AI Studio, and Azure Bot Service to enable intelligent conversational and discovery solutions

- Implement private endpoints, virtual networks (VNet), and secure connectivity to protect enterprise AI workloads

- Establish DevOps best practices including CI/CD pipelines (Azure DevOps), automated testing, and code quality (SonarCloud)

- Leverage Application Insights and monitoring tools for performance, reliability, and optimization

- Integrate enterprise systems using Microsoft Graph API and other connectors

- Partner with stakeholders to ensure AI platforms align with security, scalability, and business compliance requirements

Required skills:

- Strong expertise in Microsoft Azure services and cloud solution architecture

- AI application development

- Proficient in Python and .NET (C#)

- Azure Function App. FastAPI

- LangGraph for agentic AI development

- Azure App Configuration

- Azure Cosmos DB

- Azure OpenAI, AI Search, and Azure Bot Service

- Infrastructure-as-Code (Bicep)

- Azure Application Insights

- Azure networking: Private Endpoints, Virtual Networks

- CI/CD (Azure DevOps) and code quality practices (SonarCloud)

- Experience with Kubernetes, containers, and cloud scaling solutions