AI DevOps Engineer (GenAIOps)

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