Role Overview

We are seeking an AI DevOps Engineer (GenAIOps) to build and operate enterprise AI platforms and solutions. The role will be responsible for automating deployments, establishing CI/CD pipelines, ensuring platform security, monitoring AI applications, and enabling scalable, production-ready AI solutions across Azure AI Foundry, Azure OpenAI, Copilot Studio, and related technologies.

Key Responsibilities
• Design and maintain CI/CD pipelines for AI applications, agents, and services.
• Deploy and manage AI platforms and cloud infrastructure on Azure.
• Establish DevSecOps controls including security scanning, secrets management, and compliance checks.
• Monitor AI application health, performance, usage, and costs.
• Manage Dev, Test, UAT, and Production environments.
• Support release management, incident resolution, and platform reliability.
• Collaborate with AI Engineers, Data Engineers, Architects, and Security teams to operationalize AI solutions.





Experience: 5–10 years

Required Skills
• Azure Cloud Services
• Azure AI Foundry / Azure OpenAI
• Azure DevOps and GitHub Actions
• Docker and Kubernetes
• Python, PowerShell, YAML
• Monitoring tools such as Azure Monitor and Application Insights
• CI/CD, DevOps, and automation best practices

Preferred Skills
• Experience with Generative AI, RAG applications, and AI agents
• Experience with Document Intelligence and Azure AI Search
• Knowledge of Responsible AI, security, and governance practices

What Success Looks Like
• Faster and reliable AI deployments
• Secure and compliant AI operations
• High platform availability and performance
• Optimized cloud and AI consumption costs
• Automated, scalable AI delivery processes

📌 AI DevOps Engineer (Bengaluru)
🏢 BIOCON BIOLOGICS
📍 Bengaluru