AI Observability Principal Architect(18+ Years)

Everforth Apex Systems; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Everforth Apex Systems seeks an AI Observability Principal Architect to define and deliver end-to-end observability and AIOps capabilities across enterprise apps and platforms. The role focuses on proactive detection, intelligent event correlation, and automated incident response, improving reliability and efficiency.

This leadership role will drive strategy, telemetry framework, CUJs, SLIs/SLOs, and runbooks while collaborating with SRE, application, infra, and service management teams to embed

Qualifications

• 18+ years of experience in IT Operations, SRE, observability or platform engineering.
• Strong expertise in observability covering logs, metrics and traces.
• Proficient in SRE practices: SLIs, SLOs and error budgets.
• Experience with incident management and automation.
• Hands-on with AIOps and event management, including alert correlation.

Responsibilities

• Define observability strategy, standards, and roadmap across teams.
• Build telemetry framework (logs, metrics, traces) and instrumentation standards.
• Define CUJs and map SLIs/SLOs; enable actionable alerting.
• Implement alert-to-incident automation with proper routing.
• Drive AIOps capabilities: event correlation, noise reduction, root cause analysis.
• Develop and optimize observability dashboards for operations and leadership.
• Lead major incident support and post-incident improvements.
• Ensure continuous improvement through observability lifecycle management.
• Collaborate with application, infra and SRE teams.

Skills

18+ years exp

Observability (logs/metrics)

SRE practices

Incident management

AIOps

Observability platforms

ITSM integrations

Distributed systems

Telemetry pipelines

Automation runbooks

Stakeholder mgmt

Azure/OpenTelemetry

ServiceNow ITOM

AI-driven observability

Executive dashboards

Tools

ITSM integrations

Job description

AI Observability Principal Architect(18+ Years)

Description

The AI Observability Principal Architect is responsible for defining and delivering end-to-end observability and AIOps capabilities across enterprise applications and platforms. The role focuses on enabling proactive detection, intelligent event correlation, and automated incident response, improving system reliability and operational efficiency.

This role will lead observability strategy, standardization, and implementation across teams, ensuring clear visibility into system health, business workflows, and performance outcomes. The lead will work closely with SRE, application, infrastructure, and service management teams to embed outcome-driven observability (CUJs, SLIs/SLOs)and drive continuous improvement in incident detection and resolution.

Assignment Deliverables

• Define and implement observability strategy, standards, and roadmap
• Establish telemetry framework (logs, metrics, traces) and instrumentation standards
• Define Critical User Journeys (CUJs)and map Service Level Indicators (SLIs) / SLOs
• Enable actionable alertingaligned to user/business impact
• Implement alert-to-incident automationwith correct routing and ownership
• Drive AIOps capabilities:
• Event correlation and alert noise reduction
• Root-cause-based incident generation
• Predictive detection and anomaly identification
• Build and optimize observability dashboardsfor operations and leadership visibility
• Enable automation and self-healing playbooksfor recurring incidents
• Lead major incident support and post-incident improvements
• Ensure continuous improvement through observability lifecycle management

Required Skills

• 18+ years experiencein IT Operations / SRE / Observability / Platform Engineering
• Strong expertise in:
• Observability (logs, metrics, traces, distributed tracing)
• SRE practices (SLIs, SLOs, error budgets)
• Incident management and automation
• Experience in AIOps / Event Management:
• Event correlation, alert deduplication, noise reduction
• Hands-on experience with observability platforms and ITSM integrations
• Strong understanding of:
• Distributed systems and cloud environments
• Telemetry pipelines and data integration
• Experience in designing automation workflows, runbooks, and self-healing mechanisms
• Strong stakeholder management and ability to work across application, infra, and operations teams

Nice to Have

• Experience with Azure observability stack / OpenTelemetry
• Experience with ServiceNow ITOM / AIOps
• Exposure to AI-driven observability (anomaly detection, predictive analytics)
• Experience in building executive dashboards and reporting frameworks