Engineering Manager - AIOps

Role: Engineering Manager 

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.