AI Observability Principal Architect

About the role

Chevron's Engineering and Innovation Excellence Center (ENGINE) in Bengaluru brings together the resources of the Chevron global network with local talent to improve agility and innovation for energy challenges. The AI Observability Principal Architect defines and delivers end-to-end observability and AIOps capabilities across enterprise applications and platforms, enabling proactive detection, intelligent event correlation and automated incident response. The role leads observability strategy, standardization and implementation across teams, working closely with SRE, application, infrastructure and service management teams.

Key responsibilities

• Define and implement observability strategy, standards and roadmap
• Establish telemetry framework (logs, metrics, traces) and instrumentation standards
• Define Critical User Journeys (CUJs) and map SLIs / SLOs
• Enable actionable alerting aligned to user and business impact
• Implement alert-to-incident automation with correct routing and ownership
• Drive AIOps: event correlation, alert noise reduction, root-cause incident generation, predictive detection and anomaly identification
• Build and optimize observability dashboards for operations and leadership
• Enable automation and self-healing playbooks for recurring incidents
• Lead major incident support and post-incident improvements
• Ensure continuous improvement through observability lifecycle management

Required profile

• 18+ years of experience in IT Operations / SRE / Observability / Platform Engineering
• Strong stakeholder management and ability to work across application, infrastructure and operations teams

Required skills

• Observability (logs, metrics, traces, distributed tracing)
• SRE practices (SLIs, SLOs, error budgets) and incident management and automation
• AIOps / event management: event correlation, alert deduplication and noise reduction
• Hands-on experience with observability platforms and ITSM integrations
• Distributed systems, cloud environments, telemetry pipelines and data integration
• Design of automation workflows, runbooks and self-healing mechanisms
• Nice to have: Azure observability stack / OpenTelemetry, ServiceNow ITOM / AIOps, AI-driven observability, executive dashboards and reporting

Working hours are Monday to Friday, 8:00am to 5:00pm or 1:30pm to 10:30pm, aligned to business requirements. Chevron does not sponsor employment visas or consider candidates on time-limited visa status. Apply through the online application form.