Artificial Intelligence Architect - Azure
Description
Key Responsibilities :
- Design enterprise AI and Generative AI solutions using Microsoft Azure.
- Architect scalable solutions leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, and Azure Cognitive Services.
- Build Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise document repositories.
- Design multi-agent AI solutions using Semantic Kernel, LangChain, LangGraph, AutoGen, or Microsoft Agent Framework.
- Develop secure AI architectures using Azure Entra ID, Managed Identity, RBAC, Key Vault, Private Endpoints, and VNets.
- Lead cloud migration and AI modernization initiatives.
- Design event-driven microservices using Azure Functions, Logic Apps, Service Bus, Event Grid, and API Management.
- Architect data ingestion pipelines using Azure Data Factory, Synapse Analytics, Databricks, and Microsoft Fabric.
- Implement AI governance, Responsible AI, model monitoring, prompt security, and content safety.
- Work closely with engineering teams during implementation and production deployment.
- Establish architecture standards, best practices, and technical governance.
Skills
- AI
- Analytics
- API
- AutoGen
- Azure
- Azure Data Factory
- Azure Functions
- Azure Logic Apps
- Azure Synapse
- Cloud
- Data Ingestion
- Databricks
- Entra ID
- Event Driven Architecture
- Generative AI
- LangChain
- LangGraph
- Machine Learning
- Microservices
- Microsoft Fabric
- OpenAI
- RAG
- RBAC
- Semantic Kernel
- Vault
- Vector Databases