Description

Design and implement scalable AI-driven systems on Azure, integrating enterprise applications with Azure OpenAI, AI Search, and ML workflows.

This role is remote.

Responsibilities

• Architect resilient .NET microservices and REST APIs that embed AI capabilities into enterprise platforms.
• Build Retrieval-Augmented Generation (RAG) pipelines, managing chunking strategies, embedding generation, and retrieval optimization.
• Develop agentic and conversational AI experiences using Azure AI Foundry and Microsoft Copilot Studio.
• Plan production AI operations, including observability, telemetry, evaluation, and model lifecycle tuning for cost and latency.

Required Skills

• 8-15 years of architecture and engineering experience delivering production AI-enabled systems.
• Deep expertise in Azure cloud-native architecture, specifically Azure AI Search and Azure ML.
• Strong background in .NET/C# microservices, C#, and Python.
• Hands-on experience with RAG pipeline engineering: embeddings, vector search, and data indexing.
• Proficiency in Azure OpenAI solutions and Azure AI Foundry.
• Experience with Copilot Studio for workflow automation.
• Skilled in telemetry, logging, and test automation practices.

Preferred Skills

• Experience with Azure DevOps for CI/CD and release automation.
• Familiarity with LangChain and AI SDKs for orchestration.

Key Skills

Education

Any Graduate