Join Capgemini Engineering as an AI Architect specializing in Telecom & Network Solutions. This role is pivotal in designing and delivering next-generation AI-powered transformations for telecom and network industries. You will architect intelligent, autonomous, and AI-driven network operations by integrating cutting-edge technologies like Generative AI, Agentic AI, Digital Twins, and AIOps. This is an opportunity to drive innovation and shape the future of autonomous networks.

Architect and develop advanced Generative AI solutions using LLMs, RAG, and AI Agents for telecom operations. Design and implement AI applications for autonomous networks, enabling self-healing and predictive management. Build Network Digital Twins for simulation and optimization, and develop Knowledge Graphs for network intelligence. Apply GNNs and ML techniques for network analysis, anomaly detection, and fault prediction. Develop AI-driven AIOps and automation solutions for incident correlation and closed-loop operations. Create intelligent workflows to enhance service assurance and operational efficiency. Collaborate with OSS/BSS teams and integrate AI capabilities across telecom domains. Build scalable cloud-native AI platforms using Python and major cloud providers.

Proven experience in designing and developing Generative AI solutions, including LLMs, RAG, and AI Agents. Strong architectural skills in AI-powered applications, Autonomous Networks, and Intelligent Operations. Expertise in Network Digital Twins, Knowledge Graphs, and Graph Neural Networks (GNNs). Experience with AIOps, network automation, and service assurance frameworks. Proficiency in Python and cloud platforms (Azure, AWS, GCP). Familiarity with telecom domains (RAN, Core Networks, Transport, IP/MPLS). Ability to lead end-to-end solution delivery, mentor teams, and drive AI strategy. Experience with leading AI platforms like OpenAI, Azure OpenAI, AWS Bedrock, Gemini, and Vertex AI is highly desirable.