AI Solution and Platforms Observability Architect/Engineer
Tasks
- Apply infrastructure as code across cloud environments
- Build CI CD pipelines and deployment rollback mechanisms
- Build automated quality gates in CI CD pipelines
- Build telemetry pipelines for metrics logs distributed traces and events
- Capture safety security and compliance telemetry signals
- Deliver governance dashboards and compliance posture reporting
- Design AI observability architecture for agent systems
- Design memory skills and MCP observability with trace propagation
- Develop observability APIs and SDK hooks for marketplace registry
- Develop observability for agent fleets memory multimodal and reinforcement learning harnesses
- Embed threat modeling zero trust authentication and anomaly detection
- Establish cost telemetry and FinOps observability
- Implement dashboards alerting SLO SLA incident automation and RCA
- Implement telemetry for policy enforcement and audit traceability
- Instrument skill evaluations and eval traceability
- Integrate OpenTelemetry across agent platforms
- Integrate responsible AI signals into observability pipelines
- Lead observability driven red teaming for agentic AI
- Monitor marketplace usage adoption and capability health
- Own continuous quality engineering framework and quality metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Azure | CI/CD | Causal Inference | Clustering | Distributed Systems | Distributed tracing | FinOps | GCP | Infrastructure as Code | Kafka | Logging | Machine Learning | Metrics | Observability | OpenTelemetry | Process control | Python | RAG | Reinforcement Learning | SLA | SLI | SLO | Security observability | Series analysis | Statistical Process Control | Threat modeling | Time Series | Time Series Analysis | Zero Trust | “as-code”
Education
N/A
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