Lead AI Solution Architect

Job description

**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. Good 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.