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Job Description

Designs and implements AI-driven operations capabilities — observability, event correlation, alarm/ITSM integration and automated remediation — across telecom RAN and Core domains, advancing the network toward autonomous, closed-loop operations using the latest AIOps and agentic tooling.

Key Responsibilities

• Design end-to-end AIOps architecture spanning data ingestion, correlation, ML-based anomaly detection and automated remediation for telecom networks.

• Define observability strategy across logs, metrics, traces and events for RAN, Core and transport,



bringing in the latest AIOps, GenAI and agentic tooling.

• Build and configure correlation engines, ML models and automation workflows for fault detection, RCA and predictive maintenance.

• Design closed-loop, self-healing remediation workflows that move operations toward autonomous network maturity (TM Forum AN levels), reducing manual intervention.

• Design and implement alarm/event management — collection, deduplication, enrichment, correlation and suppression across multi-vendor networks.

• Own end-to-end ITSM integration: incident, problem and change workflows between AIOps/correlation platforms and ServiceNow/Remedy/BMC suites.

• Build automated ticket creation, enrichment and intelligent assignment/routing from alarm events into ITSM tools, with CMDB linkage.

• Integrate AIOps platforms with telco EMS/NMS, OSS/inventory and ITSM systems via REST/API and streaming interfaces.

• Suppor

📌 Telco AI Ops Architect | 10 to 20 years | Gurgaon (Bengaluru)
🏢 Capgemini
📍 Bengaluru