Generative AI / LLM Architect

Job Title: Generative AI / LLM Architect\nExperience:\n10+ years in software engineering with 4-6 years in AI/ML and hands-on experience in Generative AI.\nRole Overview\nWe are looking for a Generative AI Architect to design and deliver enterprise-scale solutions using Large Language Models (LLMs). The role involves architecting GenAI platforms, building AI copilots and assistants, and enabling scalable AI deployment across the organization.\nKey Responsibilities\nDesign end-to-end Generative AI architectures and AI-powered applications.\nBuild LLM-based solutions such as chatbots, copilots, and knowledge assistants.\nImplement Retrieval-Augmented Generation (RAG) pipelines using vector databases.\nIntegrate models such as GPT-4, Claude, and Llama.\nDevelop AI applications using frameworks like LangChain and LlamaIndex.\nArchitect scalable AI systems on cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.\nEstablish MLOps pipelines for model deployment, monitoring, and lifecycle management.\nEnsure Responsible AI, data security, and governance practices .\nRequired Skills\nStrong programming skills in Python .\nExperience with LLM architectures, prompt engineering, and RAG systems .\nFamiliarity with deep learning frameworks such as PyTorch or TensorFlow.\nExperience with vector databases like Pinecone, Weaviate, or Milvus.\nAzure expertise as must have , while AWS & GCP