Location: Phoenix, AZ (Hybrid)
Work Stream - AI Ops
Engineering Manager - AI Ops & Autonomous Operations Platform
We are seeking an Engineering Manager to build and lead an enterprise AI Ops platform that transforms IT operations through AI, automation, and observability.
* Lead the development of a greenfield AI Ops and Autonomous Operations platform.
* Build capabilities for proactive monitoring, intelligent alerting, and self-healing systems.
* Establish enterprise standards for observability, reliability, and operational intelligence.
* Own the AIOps roadmap, architecture, and delivery strategy.
* Lead teams of SREs, AI Engineers, Platform Engineers, and Automation Engineers.
* Implement AI-driven event correlation and root cause analysis.
* Drive automation of incident triage, diagnosis, and remediation workflows.
* Develop GenAI and Agentic AI solutions for operational support.
* Leverage telemetry data from logs, metrics, traces, events, and CMDB.
* Build enterprise observability solutions using OpenTelemetry and modern monitoring platforms.
* Define and mature SLI, SLO, SLA, and error-budget frameworks.
* Improve platform reliability, resilience, and operational efficiency.
* Reduce alert noise and operational toil through intelligent automation.Partner with Infrastructure, Cloud, Security, Risk, and Application teams.
* Lead major incident management and post-incident improvement programs.
* Establish AI-assisted operations practices and governance models.
* Drive cost optimization, capacity forecasting, and predictive operations.
* Deliver executive dashboards aligned to business outcomes and customer experience.
* Build a self-service operational intelligence platform for engineering teams.
* Create measurable improvements in MTTR, MTTA, availability, and engineering productivity.
Key Skills:
AIOps, SRE, Observability, OpenTelemetry, Datadog, Splunk, ServiceNow, AI/ML, GenAI, Agentic AI, Kubernetes, Cloud Platforms, Incident Management, Automation, Platform Engineering, Reliability Engineering. #J-18808-Ljbffr
Work Stream - AI Ops
Engineering Manager - AI Ops & Autonomous Operations Platform
We are seeking an Engineering Manager to build and lead an enterprise AI Ops platform that transforms IT operations through AI, automation, and observability.
* Lead the development of a greenfield AI Ops and Autonomous Operations platform.
* Build capabilities for proactive monitoring, intelligent alerting, and self-healing systems.
* Establish enterprise standards for observability, reliability, and operational intelligence.
* Own the AIOps roadmap, architecture, and delivery strategy.
* Lead teams of SREs, AI Engineers, Platform Engineers, and Automation Engineers.
* Implement AI-driven event correlation and root cause analysis.
* Drive automation of incident triage, diagnosis, and remediation workflows.
* Develop GenAI and Agentic AI solutions for operational support.
* Leverage telemetry data from logs, metrics, traces, events, and CMDB.
* Build enterprise observability solutions using OpenTelemetry and modern monitoring platforms.
* Define and mature SLI, SLO, SLA, and error-budget frameworks.
* Improve platform reliability, resilience, and operational efficiency.
* Reduce alert noise and operational toil through intelligent automation.Partner with Infrastructure, Cloud, Security, Risk, and Application teams.
* Lead major incident management and post-incident improvement programs.
* Establish AI-assisted operations practices and governance models.
* Drive cost optimization, capacity forecasting, and predictive operations.
* Deliver executive dashboards aligned to business outcomes and customer experience.
* Build a self-service operational intelligence platform for engineering teams.
* Create measurable improvements in MTTR, MTTA, availability, and engineering productivity.
Key Skills:
AIOps, SRE, Observability, OpenTelemetry, Datadog, Splunk, ServiceNow, AI/ML, GenAI, Agentic AI, Kubernetes, Cloud Platforms, Incident Management, Automation, Platform Engineering, Reliability Engineering. #J-18808-Ljbffr
Engineering Manager in phoenix at Unknown Company
This position is listed as full time and hybrid.