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AI Solution Architect

Satish Chandra MandulaRemoteSENIORPosted 2h ago
LangGraphLangfuseAzure AI FoundryAzure AI SearchRAG ArchitectureFastAPIAI Product BackgroundLLMGenAI
About the Role We are looking for a visionary AI Solution Architect who can drive the architecture and implementation of cutting-edge Generative AI and Agentic AI solutions. This role focuses on building enterprise-scale AI products and shaping the future of intelligent applications. Key Responsibilities • Define and own end-to-end architecture for enterprise GenAI and Agentic AI solutions • Design scalable, secure, and production-ready RAG-based applications • Architect intelligent multi-agent systems using LangGraph • Drive AI platform architecture and integrations using Azure AI Foundry and Azure AI Search • Establish LLM observability, evaluation, and monitoring frameworks using Langfuse • Make strategic technology decisions around model selection, scalability, performance, security, and cost optimization • Partner with product and engineering teams to transform business requirements into innovative AI products • Provide architectural leadership and technical direction to engineering teams Requirements • 8–12+ years of experience in AI solution architecture • Strong expertise in designing agentic AI workflows, multi-agent systems, orchestration, and autonomous AI applications using LangGraph • Hands-on experience with LLM observability, tracing, monitoring, evaluation, and optimization using Langfuse • Experience architecting and deploying enterprise-grade Generative AI solutions using Azure AI Foundry • Expertise in vector search, semantic search, hybrid search, and enterprise knowledge retrieval using Azure AI Search • Deep understanding of RAG concepts, advanced RAG patterns, embeddings, vector databases, chunking strategies, and retrieval optimization • Strong experience building scalable APIs and integrating AI/LLM-powered services using FastAPI • Experience architecting and delivering AI-driven products, enterprise GenAI platforms, or intelligent business applications • Strong understanding of LLMs, prompt engineering, model orchestration, context management, and AI application architecture

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