Gen AI architect

Job Location : - PAN India\n\nSkill - AI/ML, Python, GenAI, Azure/AW\n\nS\nWe are seeking an experienced Gen AI Architect to lead the design, development, and implementation of Generative AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), AI/ML architectures, cloud platforms, and enterprise-scale AI deployments. This role involves working closely with business stakeholders, data scientists, engineers, and product teams to deliver innovative AI-powered solution\ns.Key Responsibiliti\nesDesign and architect end-to-end Generative AI solutions for enterprise application\ns.Define AI/ML architecture, integration patterns, and deployment strategie\ns.Evaluate, select, and implement Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and other foundation model\ns.Build and optimize Retrieval-Augmented Generation (RAG) architecture\ns.Develop AI agents, copilots, chatbots, and intelligent automation solution\ns.Architect vector databases, knowledge management systems, and semantic search solution\ns.Collaborate with business and technical teams to translate requirements into scalable AI solution\ns.Establish AI governance, security, privacy, and responsible AI framework\ns.Drive MLOps/LLMOps best practices for model deployment, monitoring, and lifecycle managemen\n\nt.\nRequired Ski\nllsStrong experience in Generative AI, Machine Learning, and Artificial Intelligen\nce.Expertise in Large Language Models (LLMs) and Foundation Mode\nls.Experience with RAG, prompt engineering, fine-tuning, and AI agen\nts.Proficiency in Python and AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or simil\nar.Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Sear\nch.Strong knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform (GC\nP).Experience with MLOps/LLMOps tools and deployment pipelin\n\nes.