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