Key Skills: Azure AI, Azure, AI Foundry (Azure), .NET, Python, Copilot Studio (MS), C#, Telemetry, Azure Devops, Test Automation, LangChain Development, Api

Roles and Responsibilities:

- Design and implement AI-driven systems on Azure, including Azure OpenAI-based solutions, Azure AI Search, and Azure ML workflows.
- Architect scalable .NET (C#/.NET Core) microservices and REST APIs that integrate AI services into enterprise applications.
- Build Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embedding generation, and retrieval optimization.
- Develop agentic and conversational AI experiences using Azure AI Foundry and Microsoft Copilot Studio, including workflow automation.
- Plan and execute AI operations in production: observability (logging/telemetry), evaluation, and model lifecycle tuning for cost, latency, and throughput.

Skills Required:

- 8-15 years of relevant architecture and engineering experience,



including production delivery of AI-enabled systems.
- .NET / C# microservices architecture and secure, resilient distributed systems design.
- REST API development and integration patterns for enterprise platforms.
- Azure cloud-native architecture and hands-on implementation of Azure AI Search and Azure ML.
- RAG pipeline engineering: embeddings, vector search/retrieval optimization, and data preparation/indexing.

Positive to Have:

- Azure DevOps for CI/CD, testing, and release automation.
- LangChain and AI SDKs for orchestration and AI application development.
- Evaluation frameworks and monitoring/telemetry practices for AI systems.

Education: Bachelor's Degree in Computer Science or related field; Master's Degree preferred.

📌 Lead AI Solution Architect (Hyderabad)
🏢 Careernet
📍 Hyderabad