Generative AI / LLM Architect

Job Title: Generative AI / LLM Architect

Experience:

10+ years in software engineering with 4-6 years in AI/ML and hands-on experience in Generative AI.

Role Overview

We 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.

Key Responsibilities

• Design end-to-end Generative AI architectures and AI-powered applications.
• Build LLM-based solutions such as chatbots, copilots, and knowledge assistants.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Integrate models such as GPT-4, Claude, and Llama.
• Develop AI applications using frameworks like LangChain and LlamaIndex.
• Architect scalable AI systems on cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
• Establish MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Ensure Responsible AI, data security, and governance practices.

Required Skills

• Strong programming skills in Python.
• Experience with LLM architectures, prompt engineering, and RAG systems.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with vector databases like Pinecone, Weaviate, or Milvus.
• Azure expertise as must have, while AWS & GCP