Job DescriptionJob description: AI Ops SME (Telecom Domain)
NExperience: 8-12 Years
NPractice: Telecom / Network Services – AI Ops, Observability & Automation
NLocation: Bangalore, Chennai, Noida, Gurgaon / Hybrid - with travel as needed.
NDesigns 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.
NKey Responsibilities
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- Design end-to-end AIOpsarchitecture spanning data ingestion, correlation, ML-based anomaly detection and automated remediation for telecom networks. N
- Define observability strategy across logs, metrics, traces and events for RAN, Core and transport, bringing in the latest AIOps, GenAI and agentic tooling. N
- Build and configure correlation engines, ML models and automation workflows for fault detection, RCA and predictive maintenance. N
- Design closed-loop,



self-healing remediation workflows that move operations toward autonomous network maturity (TM Forum AN levels), reducing manual intervention. N
- Design and implement alarm/event management — collection, deduplication, enrichment, correlation and suppression across multi-vendor networks. N
- Own end-to-end ITSM integration: incident, problem and change workflows between AIOps/correlation platforms and ServiceNow/Remedy/BMC suites. N
- Build automated ticket creation, enrichment and intelligent assignment/routing from alarm events into ITSM tools, with CMDB linkage. N
- Integrate AIOps platforms with telco EMS/NMS, OSS/inventory and ITSM systems via REST/API and streaming interfaces. N
- Support production environments — tuning correlation rules, ML retraining, and continuous RCA accuracy improvement with NOC/L1-L3 teams. N
- Define and report AIOpsKPIs (MTTD, MTTR, noise reduction, automation coverage) and contribute to presales/PoC deliv

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