Senior Engineer, Enterprise AI Services
Tasks
- Build telemetry pipelines dashboards and reporting
- Define and standardize telemetry for AI products
- Design and operate observability capabilities for AI workloads
- Implement monitoring, alerting, and incident response practices
- Partner with cross-functional teams on AI use cases and policy enforcement
Perks/Benefits
- Career Development Programs
- Comprehensive benefits
- Flexible work schedules
- Hybrid work model
- Mental health resources
- Social impact initiatives
- Volunteer days
Skills/Tech-stack
AI Observability | AWS Azure GCP | Azure GCP | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS Azure | Cloud platforms AWS Azure GCP | Datadog | Kubernetes | LLM | Logging | ML Systems | ML frameworks | Monitoring | Python | Terraform | Tracing
Education
Roles
AI | AI Engineer | Engineer | Engineering | Platform | Platform Engineer | Senior Engineering
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