Lead AI-driven operations support initiatives, embedding scalable solutions like incident enrichment, predictive alerting, and intelligent runbooks into ITSM platforms.
Architect and continuously improve AIOps platforms, integrating with observability, ticketing, and automation tools while applying MLOps best practices.
Act as the principal AI authority, driving high-value use cases to reduce MTTR/MTTD, automate triage, predict incidents, and optimize reliability.
Build and mentor a team of AIOps specialists, fostering a culture of experimentation, operational impact, and professional growth.
Collaborate with cross-functional stakeholders to align AI solutions with operational needs, ensuring scalable, sustainable delivery.
Requirements
Strong background in data engineering, AI/ML, and operations technology with leadership in IT and service environments