Senior AI Platform Architect | LLM, RAG, LangGraph, FastAPI, AWS, Multi-Agent Systems

We are seeking a Senior AI Platform Architect to lead the design and development of a next-generation AI platform that combines Large Language Models, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, Knowledge Retrieval, Workflow Automation, and Enterprise SaaS Infrastructure. This is not a simple chatbot project. We are building a production-grade AI ecosystem capable of processing millions of documents, orchestrating multiple AI agents, executing complex business workflows, integrating with third-party enterprise systems, and serving thousands of concurrent users across multiple organizations. The ideal candidate will architect and implement advanced AI solutions using OpenAI GPT-5, Claude, Gemini, DeepSeek, LangChain, LangGraph, LlamaIndex, MCP, Function Calling, Agentic Workflows, Semantic Search, Embeddings, Vector Databases, and Enterprise Knowledge Retrieval Systems. You will be responsible for designing scalable RAG architectures, multi-agent orchestration frameworks, prompt engineering strategies, model evaluation pipelines, observability systems, and AI governance processes. On the backend side, you will design high-performance services using FastAPI, Django, PostgreSQL, Redis, Celery, RabbitMQ, GraphQL, WebSockets, OAuth2, JWT Authentication, Event-Driven Architecture, and Distributed Systems principles. The platform must support real-time interactions, document ingestion pipelines, workflow execution engines, and advanced monitoring capabilities. The ideal candidate should also have strong cloud and DevOps expertise including AWS, Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub Actions, MLflow, Databricks, Prometheus, Grafana, and Infrastructure as Code practices. Experience deploying scalable AI infrastructure in enterprise environments is highly preferred. We are specifically looking for someone who can own technical architecture, make critical engineering decisions, mentor other developers, establish coding standards, and deliver a platform designed for long-term scalability rather than short-term prototypes.