AI Operations Strategist

Job description: AI Ops SME (Telecom Domain)

Experience: 8-12 Years

Practice: Telecom / Network Services – AI Ops, Observability & Automation

Location: Bangalore, Chennai, Noida, Gurgaon / Hybrid - with travel as needed.

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.

• Support production environments — tuning correlation rules, ML retraining, and continuous RCA accuracy improvement with NOC/L1-L3 teams.

• Define and report AIOps KPIs (MTTD, MTTR, noise reduction, automation coverage) and contribute to presales/PoC delivery for AIOps opportunities.

Technical Skills & Tools-

Category

Tools / Technologies

Telco Domain

RAN, Core (EPC/5GC), Packet Core, Transport; 3G/4G/5G network elements and KPIs

Observability & Monitoring

Splunk, ThousandEyes, Grafana, Prometheus, Elastic Stack (ELK), Dynatrace, Datadog, AppDynamics

AIOps / Correlation Platforms

Moogsoft, BigPanda, ServiceNow AIOps, Cisco Crosswork Health Insights, Ciena Blue Planet UAA, PagerDuty

Alarm / Fault Management (FM)

SNMP traps, syslog, streaming telemetry, NOC alarm consoles, EMS/NMS fault feeds, topology-based correlation

ITSM & Integration

ServiceNow ITSM/ITOM, BMC Remedy, Jira Service Management, CMDB integration, REST/SOAP APIs, workflow automation

AI / ML & GenAI

Python (scikit-learn, TensorFlow/PyTorch basics), LLM-based RCA copilots, RAG pipelines, anomaly-detection models

Autonomous Networks

Closed-loop automation, self-healing remediation, TM Forum Autonomous Networks (AN) maturity levels, intent-based assurance

Automation & Integration

Ansible, Python, NETCONF/RESTCONF, Kafka/streaming telemetry, webhook & middleware integrations

Delivery & Frameworks

ITIL v4, Agile/Scrum, SRE practices, TM Forum ODA (assurance domain)