13 Aug
|
ZainTECH
|
India
Description
The Azure AI Engineer is responsible for the end-to-end implementation and deployment of enterprise AI solutions on the Azure Stack. You will take ownership of building, integrating, and operationalizing AI workloads using Azure AI Foundry, Azure Databricks, Azure Data Lake, and the broader Microsoft AI ecosystem — including the design and enforcement of guardrails for responsible, secure, and compliant AI.
This is a hands-on engineering role focused on delivery: turning architectural designs into production-ready AI services, owning the deployment lifecycle, and ensuring solutions are robust, observable, and aligned with enterprise security and governance standards
Responsibilities:
AI Solution Implementation on Azure
- Solution Build: Implement AI solutions on Azure AI Foundry — including agent design, model selection, prompt flows, evaluation pipelines, and deployment of fine-tuned and base models.
- Generative AI & RAG: Build retrieval-augmented generation (RAG) pipelines using Azure AI Search, Azure OpenAI,
and vector stores; integrate with enterprise data sources via Azure Data Lake and Databricks.
- Model Deployment: Deploy models and AI endpoints to Azure Machine Learning, Azure AI Foundry, AKS, and Azure Container Apps; manage endpoint scaling, versioning, and traffic routing.
- Integration: Integrate AI services with downstream applications via REST APIs, Azure API Management, Logic Apps, and Function Apps.
Data Engineering on Azure Databricks & Data Lake
- Databricks Workloads: Build and operationalize data pipelines, feature engineering jobs, and model training notebooks on Azure Databricks (PySpark, Delta Lake, Unity Catalog).
- Data Lake Architecture: Implement medallion (bronze/silver/gold) patterns on Azure Data Lake Storage Gen2; manage partitioning, file formats, and access patterns optimized for AI workloads.
- Data Integration: Develop ingestion and transformation pipelines using Azure Data Factory, Synapse, and Databricks Workflows
📌 Azure AI Engineer (India)
🏢 ZainTECH
📍 India