Senior AI Operations Engineer

Operate and maintain enterprise AI platforms and services on Azure, ensuring availability, scalability, and operational stability across development, test, and production environments.

Deploy, support, and troubleshoot AI workloads including generative AI services, machine learning models, and containerized applications using Docker and Kubernetes (preferably Azure Kubernetes Service).

Implement monitoring, incident management, automation (Infrastructure as Code with Terraform), CI/CD pipelines, and security practices for AI platforms in collaboration with cross-functional teams.

Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related STEM field or equivalent experience.

8+ years experience in Cloud Platform Engineering, Infrastructure Engineering, DevOps, Platform Operations, SRE, MLOps, or AI Operations with hands-on Azure enterprise production environment experience.

Proven experience operating AI, Machine Learning, or Generative AI platforms and Kubernetes-based container orchestration (preferably Azure Kubernetes Service).

Strong skills in Azure cloud services, Azure OpenAI, Terraform, CI/CD pipelines (Azure DevOps or GitHub Actions), containerization (Docker), scripting (Python + Bash/PowerShell).

Experienced in managing shared platforms and reusable infrastructure modules consumed by multiple engineering teams, indicating strong platform ownership beyond application delivery.

Comfortable with complex AI operational lifecycle, including model deployment, governance, monitoring, and security compliance in large controlled enterprise environments.

Capable of independently resolving production incidents, automating platform tasks, and enabling developer self-service with strong Azure ecosystem expertise, preferably in Bangalore or willing to work IST hours on-site.