Design and architect scalable, maintainable AI solutions using LangChain, LangGraph, and RAG methodologies.Lead development efforts using Python to prototype and productionize AI agents and workflows.Develop and optimize RAG systems using vector search, knowledge graphs, and LLMs.Architect Agentic AI systems capable of autonomous task execution, state management, workflow orchestration, and external API integration.Design conversational AI and NLP solutions for knowledge discovery and intelligent information retrieval.Collaborate with Data Engineering and DevOps teams to implement data pipelines and model deployment strategies.Provide technical leadership and architecture guidance for AI/NLP projects.Evaluate emerging AI technologies, frameworks, and models to improve solution architecture.Create technical documentation, architecture diagrams, and solution design documents.Ensure AI solutions meet security, compliance, scalability, and performance standards.Translate complex business requirements into scalable and production-ready AI solutions.The ideal candidate should be a hands-on AI Architect/Solution Architect who can move beyond AI experimentation and design enterprise-grade, production-ready AI solutions. Strong experience with Python + LangChain/LangGraph + RAG + Agentic AI is essential.Core Skill Combination: Python + LangChain/LangGraph + RAG + Agentic AI + Vector Search + LLM + Cloud + Kubernetes.We are seeking an experienced AI Solution Architect with a strong focus on AI-driven intelligent systems, NLP, RAG, and Agentic AI. The ideal candidate will lead the design, development, and deployment of scalable AI solutions using Python, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Agentic AI models.The candidate will work closely with data engineering and DevOps teams to build production-ready AI applications, intelligent agents, conversational systems, and knowledge discovery solutions.
3 days ago