Autonomous Network Architect

Your Role

Autonomous Network Architect – Mobile & Fixed

This is a specialized role focused on designing and implementing autonomous network use‑case solutions for mobile & fixed telecommunications environments, network programmability, APIs, scalable AI architectures, and token‑efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, Lang Graph, Lang Chain).

• 10+ years in telecom/mobile network architecture including 2+ years hands‑on experience developing and deploying autonomous network use cases
• Network Programmability :
  Proven expertise with:
  • RESTful APIs and YANG models
  • Python, Go, or similar languages for network automation
  • NETCONF/RESTCONF protocols
  • gRPC and other modern APIs
• Autonomous Networks :
  • Demonstrated expertise in self‑optimizing/self‑healing network implementations
  • Portfolio of successful autonomous network use cases
• Agentic AI & Data Optimization :
  • 2+ years experience implementing RAG systems or retrieval frameworks
  • Demonstrated expertise in relevant use‑case development:
    • Data correlation and entity relationship mapping
    • Data quality assessment and cleansing methodologies
    • Token optimization techniques for LLM‑based agents
    • Resource‑constrained AI model deployment
    • Vector databases and semantic search (e.g., Pinecone, Weaviate, Milvus, Qdrant, and Chroma
      
      DB)
    • Prompt engineering for efficient agent reasoning
    • LLM fine‑tuning and instruction optimization
    • Graph databases for network topology and context management
    • Feature engineering for network telemetry
    • ETL pipeline design for real‑time network data
    • Caching strategies (semantic, temporal, hierarchical)
    • Context window optimization techniques
  • Experience reducing computational overhead while maintaining decision accuracy in AI systems
  • Portfolio demonstrating optimized agentic implementations (inference cost reduction, latency improvements)

• TM Forum Certifications :
  • TM Forum Open API Certification (at least one domain: RAN, Core, OSS, etc.)
  • TM Forum Autonomous Network Practitioner certification (or equivalent)
  • Or equivalent advanced TMForum training in Digital Ops and Autonomous Networks

• Experience with Generative AI frameworks (Lang Chain, Lang Graph, Llama Index, Auto Gen)
• Exposure to Google Vertex AI or similar cloud solutions, Gemini APIs, Big Query or similar platforms
• Knowledge of network telemetry optimization (gRPC telemetry, streaming telemetry)
• Knowledge of distributed systems and Kubernetes‑based deployments

• Exposure to top global companies working with Capgemini
• Open access to digital learning platforms
• Active employee networks promoting diversity, equity and inclusion like Out Front, Cap Ability or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a disability, and

• Meet the minimum essential criteria for the role.

• Please opt in during the application process.

• All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
• You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.