Senior Technical Architect
HCLTech
Bangalore, Karnataka, IndiaPosted 21 days agoDiscoveredMatch locked
Full-time
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 alerting
aligned to user/business impact
- Implement
alert-to-incident automation
with 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 dashboards
for operations and leadership visibility
- Enable
automation and self-healing playbooks
for recurring incidents
- Lead
major incident support and post-incident improvements
Ensure continuous improvement through
Required Skills
•
18+ years experience
in 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
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
Not included in the source posting: about the role, what you'll do, benefits.
Skills
sreartificial-intelligenceazure
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.