Inactive

Capgemini

Global consulting, technology services, outsourcing

Data Science Architect

AI Application Engineering +1Posted on Oct 5

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

Design and develop Generative AI solutions using large language models, retrieval-augmented generation, Graph RAG, AI agents, Agentic AI, and LangGraph for telecom operations, network management, and service assurance.
Architect and implement AI-powered applications for autonomous networks and intelligent operations, including self-healing, self-optimization, and predictive network management.
Build and maintain network digital twins to simulate, model, analyze, and optimize telecom network behavior, performance, and capacity planning.
Design and develop knowledge graphs and ontologies for network intelligence, service dependency mapping, root cause analysis, and operational insights.
Apply graph neural networks and advanced AI/ML techniques to network topology analysis, anomaly detection, fault prediction, and service impact assessment.
Develop AI-driven AIOps solutions for network automation, incident correlation, event management, and closed-loop network operations.
Create intelligent workflows and automation frameworks for service assurance, fault management, performance monitoring, and operational efficiency.
Collaborate with OSS/BSS teams to integrate AI capabilities across telecom business and operational support systems.
Design and implement solutions across radio access networks, core networks, transport networks, and IP/MPLS infrastructure.
Build scalable cloud-native AI platforms using Python and cloud technologies such as Azure, AWS, or GCP.
Develop APIs, microservices, and orchestration frameworks to integrate AI models with telecom network management platforms.
Lead end-to-end solution delivery, including requirements gathering, architecture design, development, deployment, testing, and production rollout.
Work with network architects, data engineers, product owners, and operations teams to define AI use cases and business outcomes.
Establish best practices for AI governance, model lifecycle management, observability, security, and responsible AI implementation.

Responsibilities

Lead the design, architecture, and delivery of AI-powered telecom and network transformation solutions.
Drive AI architecture discussions, technology evaluations, proof-of-concepts, and innovation initiatives within telecom transformation programs.
Provide technical leadership, mentor engineering teams, and contribute to AI strategy and capability development within the organization.

Your Role

You will lead the design, architecture, and delivery of next-generation AI-powered Telecom and Network Transformation solutions. As an AI Architect - Telecom & Network Solutions, you will work closely with telecom operators, CSPs, network architects, OSS/BSS teams, and business stakeholders to build intelligent, autonomous, and AI-driven network operations. Leveraging Generative AI, Agentic AI, Digital Twins, Knowledge Graphs, AIOps, and Cloud-Native technologies, you will drive innovation across network management, service assurance, automation, and operational excellence while enabling the evolution toward Autonomous Networks and Intelligent Operations.

Your Profile

Design and develop next-generation Generative AI solutions leveraging LLMs, RAG, Graph RAG, AI Agents, Agentic AI, and LangGraph for telecom operations, network management, and service assurance.
Architect and implement AI-powered applications for Autonomous Networks and Intelligent Operations, enabling self-healing, self-optimization, and predictive network management.
Build and maintain Network Digital Twins to simulate, model, analyze, and optimize telecom network behavior, performance, and capacity planning.
Design and develop Knowledge Graphs and Ontologies to establish network intelligence, service dependency mapping, root cause analysis, and operational insights.
Apply Graph Neural Networks (GNNs) and advanced AI/ML techniques for network topology analysis, anomaly detection, fault prediction, and service impact assessment.
Develop AI-driven solutions for AIOps, network automation, incident correlation, event management, and closed-loop network operations.
Create intelligent workflows and automation frameworks to enhance Service Assurance, fault management, performance monitoring, and operational efficiency.
Collaborate with OSS/BSS teams to integrate AI capabilities across telecom business and operational support systems.
Design and implement solutions across telecom domains including RAN, Core Networks, Transport Networks, and IP/MPLS infrastructure.
Build scalable cloud-native AI platforms using Python and cloud technologies such as Azure, AWS, or GCP.
Develop APIs, microservices, and orchestration frameworks for integrating AI models with telecom network management platforms.
Drive AI architecture discussions, technology evaluations, proof-of-concepts (PoCs), and innovation initiatives within telecom transformation programs.
Lead end-to-end solution delivery, including requirement gathering, architecture design, development, deployment, testing, and production rollout.
Work closely with network architects, data engineers, product owners, and operations teams to define AI use cases and business outcomes.
Establish best practices for AI governance, model lifecycle management, observability, security, and responsible AI implementation.
Provide technical leadership, mentor engineering teams, and contribute to AI strategy and capability development within the organization.

What You'll Love About Working Here

Lead cutting-edge AI, GenAI, and Autonomous Network Transformation programs for global telecom customers.
Work on next-generation technologies including LLMs, Agentic AI, Digital Twins, Knowledge Graphs, and AIOps.
Collaborate with telecom, cloud, and AI experts to solve complex network and operational challenges.
Gain exposure to leading AI platforms including OpenAI, Azure OpenAI, AWS Bedrock, Gemini, and Vertex AI.
Drive innovation across OSS/BSS modernization, network automation, and intelligent operations.
Opportunity to shape the future of Telecom AI and Autonomous Networks while building industry-leading solutions.
Continuous learning, certifications, and career growth in emerging AI and telecom technologies.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli.Make it real | www.capgemini.com/in-en.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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