Telecom OSS Architect

Capgemini; Chennai District, Bengaluru, Gurugram District; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Capgemini is seeking a Senior Telecom Architect specialized in AI, analytics and data engineering to drive data-driven, autonomous network solutions for large telecom operators in a hybrid India role with travel.

The candidate will architect data foundations, pipelines, and analytics layers across RAN, Core and transport domains, and lead pre-sales and delivery efforts from design to go-live.

Qualifications

• Experience: 9-12 years in telecom/data analytics
• Practice focuses on Telecom / Network Services Architecture, Analytics, Data Engineering & Data Science
• Location: India (Gurugram) / Hybrid with travel as needed
• Architect data and AI foundations enabling autonomous network capabilities for large CSPs
• Lead end-to-end data and AI solutions across RAN/Core networks and data estates
• Design data pipelines, data lake/warehouse, and analytics layers for network analytics and AI use cases

Responsibilities

• Architect data and AI foundations for autonomous network capabilities and closed-loop assurance
• Design end-to-end telecom network solutions across RAN, Core (2G/3G/4G/5G), BSC/BTS, packet/circuit domains
• Lead presales solutioning, proposals, and architecture presentations for transformation deals
• Design greenfield and modernization plans for telecom data estates
• Build and productionize ETL/ELT pipelines with quality and governance
• Develop data science models for churn, forecasting, and anomaly detection
• Oversee hands-on delivery from design to go-live for large engagements
• Mentor teams on reusable accelerators and post-go-live operations

Skills

Data engineering

Data science

Cloud platforms

Programming & automation

Analytics visualization

Autonomous networks

Tools

Apache Spark

Kafka

Airflow

Hadoop ecosystem

dbt

SQL/NoSQL

Snowflake

BigQuery

MongoDB

Cassandra

AWS

Azure

GCP

Python

PySpark

TensorFlow

TD/ML tooling

Job description

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 modern 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 / Technologies
• Telecom Network Domains: RAN, Core (2G/3G/4G/5G), BSC, BTS, MSC, Packet Core (EPC/5GC), Circuit-Switched Core, Transport/IP
• Telco Vendors / Ecosystem: Cisco (NSO, Crosswork, ACI, Nexus, SD-WAN), Nokia, Ericsson, Huawei, Juniper
• Data Engineering: Apache Spark, Kafka, Airflow, Hadoop ecosystem, dbt, SQL/NoSQL (Snowflake, BigQuery, MongoDB, Cassandra)
• Cloud & Big Data Platforms: AWS (Glue, Redshift, EMR), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow)
• Data Science / AI: Python, PySpark, scikit-learn, TensorFlow/PyTorch, feature engineering, statistical modeling, forecasting, MLOps (MLflow)
• Autonomous Networks: TM Forum Autonomous Networks (AN) framework, closed-loop assurance, self-optimizing network (SON), intent-based automation
• Analytics & Visualization: Power BI, Tableau, network analytics & KPI modeling
• Programming & Automation: Python, Java/Scala basics, REST APIs, YANG/NETCONF, Ansible/Terraform
• Delivery & Frameworks: TM Forum ODA/eTOM, Agile/Scrum, ITIL v4, data governance frameworks