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Telco AI and Data Engineering

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

  • 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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code:  517577
Posted on:  16 Jul 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Gurgaon, IN

Brand:  Capgemini Engineering
Professional Community:  Manufacturing & Operations Engineering

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