Senior AI Engineer ID80139
Tasks
- Analyze health metrics for Discovery ecosystem
- Build agentic observability for MID Servers and Discovery schedules
- Classify and correlate failures
- Collect aggregate and interpret metrics and telemetry
- Convert operational runbooks into reusable workflows
- Design and build AI agents to analyze ServiceNow Discovery logs
- Ensure testing guardrails and human approval before production changes
- Integrate LLM APIs using RAG and vector databases
- Perform root cause analysis
- Recommend and generate corrective actions
Perks/Benefits
- Annual learning budget
- Flexible hours
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
Anthropic API | Artifact Repositories | Authentication | Automated testing | CI/CD | Cloud infrastructure | Code Quality | DNS | Deployment Automation | Firewalls | Git | GitHub | Grafana | HTTP | High Volume | High Volume Logging | Infrastructure troubleshooting | Jenkins | Linux | MID Server | Metrics | Observability | OpenAI API | OpenTelemetry | Prometheus | Python | RAG | REST API | Release Management | Retrieval-Augmented Generation | Routing | SNMP | SSH | Security Scanning | ServiceNow | ServiceNow Discovery | TCP/IP | Telemetry | Vector Databases | Virtualization | WMI | WinRM | Windows server
Education
N/A
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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