Senior AI Operations Engineer
Core
Operate and maintain enterprise AI platforms, services, and containerized workloads on Microsoft Azure, ensuring reliability, scalability, and security for generative AI applications.
Role type
Senior AI Operations Engineer (MLOps/SRE)
Builds
Enterprise AI platforms, containerized AI workloads, and governed model-access gateways
Domain
Cloud Infrastructure & AI Operations
Deliverable
production ML models
Required skills
Azure AI services, Kubernetes, Terraform, CI/CD pipelines, observability, incident management, security hardening, automation scripting
Preferred skills
Generative AI deployment, RAG architecture, multi-cloud gateway management, developer enablement
Technologies
Azure OpenAI, Azure AI Foundry, Azure Kubernetes Service, Docker, Terraform, Azure DevOps, GitHub Actions, OpenTelemetry, Azure Monitor
Responsibilities
Operate and maintain enterprise AI platforms across development, test, and production environments; Deploy and operationalize AI and Generative AI workloads including copilots and RAG services; Manage containerized AI workloads using Docker and Kubernetes; Operate the governed model-access layer for provider routing and quota management; Implement monitoring, logging, and alerting for AI system utilization and performance; Develop and maintain Infrastructure as Code using Terraform; Build and maintain CI/CD pipelines for automated deployment and validation; Investigate and resolve platform incidents and perform root cause analysis.
Seniority
Senior, hands-on IC
