Role Description

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

Solid 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

Skills

software engineering,gpt-4,ai/ml,llm architectures,rag systems,python,generative ai,

📌 Specialist I (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram