Role Overview

- Position Title: GenAI / Cloud / Terraform Engineer
- Experience Requirement: 6-10 years total IT experience (5+ years in cloud platforms like Azure/GCP/Devops and 2+ years in Terraform, and 3+ years in Generative AI)
- Core Goal: Design, automate, and scale secure enterprise Generative AI infrastructure and application pipelines across multi-cloud environments.

Key Responsibilities

- Infrastructure as Code (IaC): Build and maintain modular, reusable Terraform scripts to provision cloud environments, vector databases, GPU compute instances, and networking components.
- GenAI Implementation: Deploy and integrate Large Language Models (LLMs), RAG architectures (Retrieval-Augmented Generation), and AI agent frameworks.
- Cloud Platform Management:



Configure and optimize cloud services on Microsoft Azure (Azure OpenAI, AI Search, AI Foundry) and/or Google Cloud Platform (Vertex AI, GKE).
- Collaboration: Partner with software and data engineering teams to secure API endpoints, ensure system scalability, and manage model deployment pipelines.

Required Technical Skills

- Cloud & DevOps: Azure, GCP, or AWS; Terraform; Docker/Kubernetes (GKE/AKS).
- GenAI & AI Frameworks: OpenAI, LangGraph, CrewAI, AutoGen, RAG, Vector Databases (Pinecone, Milvus, Qdrant, etc.).
- Programming Languages: Python, .NET, or Node.js

Location- PAN India

Notice Period- Any

📌 GenAI Cloud and Terraform Engineer (Telangana)
🏢 Cognizant
📍 Telangana