Job Descriptions: Telecom OSS & Network Automation
Telecom Architect :AI, Analytics & Data Engineering
Experience: 9-12 Years
Practice: Telecom / Network Services Architecture, Analytics, Data Engineering & Data Science
Location: India (Gurugram) / Hybrid, with travel as needed
Combines deep telecom network domain grounding (RAN, Core, BSC/BTS, 3G/4G/5G, packet and circuit) with data engineering, data science and analytics to architect and deliver data-driven solutions including autonomous network capabilities for large telecom operators.
Key Responsibilities
Architect data and AI foundations that enable autonomous network capabilities closed-loop assurance, self-optimizing RAN/Core, and intent-based automation.
Architect end-to-end telecom network solutions spanning RAN, Core (2G/3G/4G/5G), BSC/BTS, packet and circuit-switched domains for large CSP customers.
Lead presales solutioning technical proposals, effort/cost estimation and architecture presentations for network transformation and analytics deals.
Design greenfield network and data architectures, and lead brownfield modernization/migration of legacy telecom platforms and data estates.
Design and build data pipelines ingesting/transforming telecom data CDRs, xDRs, PM/FM counters, streaming telemetry, inventory and topology data.
Architect data lake/warehouse and analytics layers (batch and streaming) supporting network analytics, capacity planning and AI/ML use cases.
Build and productionize ETL/ELT pipelines with up-to-date data engineering tools, ensuring data quality, lineage and governance.
Design and deliver data science models churn, capacity forecasting,



anomaly detection, RAN/Core optimization from feature engineering through production deployment.
Architect data and AI foundations that enable autonomous network capabilities closed-loop assurance, self-optimizing RAN/Core, and intent-based automation. Own hands-on delivery across design, build, test, migrate and go-live for large, multi-workstream telecom engagements, with defined cutover/rollback strategy.
Support service delivery and operations post-go-live, ensuring data/analytics platforms meet SLA/KPIs, and mentor engineering teams on reusable accelerators.
Technical Skills & Tools
CategoryTools / TechnologiesTelecom Network DomainsRAN, Core (2G/3G/4G/5G), BSC, BTS, MSC, Packet Core (EPC/5GC), Circuit-Switched Core, Transport/IPTelco Vendors / EcosystemCisco (NSO, Crosswork, ACI, Nexus, SD-WAN), Nokia, Ericsson, Huawei, JuniperData EngineeringApache Spark, Kafka, Airflow, Hadoop ecosystem, dbt, SQL/NoSQL (Snowflake, BigQuery, MongoDB, Cassandra)Cloud & Big Data PlatformsAWS (Glue, Redshift, EMR), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow)Data Science / AIPython, PySpark, scikit-learn, TensorFlow/PyTorch, feature engineering, statistical modeling, forecasting, MLOps (MLflow)Autonomous NetworksTM Forum Autonomous Networks (AN) framework, closed-loop assurance, self-optimizing network (SON) concepts, intent-based automationAnalytics & VisualizationPower BI, Tableau, network analytics & KPI modelingProgramming & AutomationPython, Java/Scala basics, REST APIs, YANG/NETCONF, Ansible/TerraformDelivery & FrameworksTM Forum ODA/eTOM, Agile/Scrum, ITIL v4, data governance frameworks
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📌 Telecom OSS Architect (Gurugram)
🏢 Capgemini
📍 Gurugram