Senior AI Platform Operations Engineer
Tasks
- Administer AI platform operations
- Analyze operational data for anomalies and root cause
- Conduct post-incident reviews
- Coordinate incident response and service restoration
- Coordinate releases and change readiness validation
- Enable AI use cases into production
- Enforce data privacy auditability traceability and human oversight
- Execute AI governance usage and access controls
- Identify control gaps and escalate risks
- Implement AI Ops automation for operational tasks
- Implement observability telemetry logging metrics traces
- Maintain documentation for audit and governance reviews
- Maintain operational visibility of AI platform assets
- Monitor platform health with logs metrics alerts
- Perform operational triage and escalation coordination
- Plan maintenance and capacity
- Support audits for cost attribution accuracy
- Validate asset ownership relationships and lifecycle status
- Validate dependencies and operational readiness checklists
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AKS | API Management | Access Control | Alert Correlation | Anomaly Detection | Apache Kafka | App Service | Application Insights | Auditability | Automation | Azure | Azure AI | Azure AI Search | Azure API | Azure API Management | Azure App | Azure App Service | Azure Automation | Azure DevOps | Azure Monitor | Azure Policy | Bicep | CI/CD | Cause analysis | Change Management | Configuration Management | Configuration Management Database | Cosmos DB | Data Privacy | Elastic | Event Grid | GitHub Actions | Grafana | Human-in-the-loop | ITIL | ITSM | Incident Management | Infrastructure as Code | Key Vault | Logging | Logic Apps | Metrics | Powershell | Predictive Analytics | Problem Management | Python | Release Management | Root Cause Analysis | Root cause | Service Bus | Telemetry | Terraform | The Loop | Traceability | Tracing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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