Senior Solutions Architect – AI and Core Networks

Capgemini is seeking an Autonomous Network Architect for Mobile and Fixed networks to design and implement autonomous network use-case solutions for telecom environments, focusing on network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks such as Google Vertex AI or similar, LangGraph, and LangChain.

Location and work arrangement: This is a permanent hybrid role based in London, United Kingdom, with clients primarily along the M4 corridor (Newbury, Reading, Slough) and occasional travel to these locations. All roles require security clearance (BPSS or Security Clearance or Developed Vetting).

Experience and qualifications: - Experience in telecom/mobile network architecture with hands-on development and deployment of autonomous network use cases - Network programmability: RESTful APIs and YANG models; Python, Go, or similar languages for network automation; NETCONF/RESTCONF; gRPC and other modern APIs - Autonomous Networks: self-optimizing and self-healing network implementations; portfolio of autonomous network use cases - Agentic AI & Data Optimization: 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 ChromaDB); prompt engineering for efficient agent reasoning; LLM fine-tuning and instruction optimization; graph databases for ne

Senior Solutions Architect – AI and Core Networks

Capgemini is seeking an Autonomous Network Architect for Mobile and Fixed networks to design and implement autonomous network use-case solutions for telecom environments, focusing on network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks such as Google Vertex AI or similar, LangGraph, and LangChain.

Location and work arrangement: This is a permanent hybrid role based in London, United Kingdom, with clients primarily along the M4 corridor (Newbury, Reading, Slough) and occasional travel to these locations. All roles require security clearance (BPSS or Security Clearance or Developed Vetting).

Experience and qualifications: - Experience in telecom/mobile network architecture with hands-on development and deployment of autonomous network use cases - Network programmability: RESTful APIs and YANG models; Python, Go, or similar languages for network automation; NETCONF/RESTCONF; gRPC and other modern APIs - Autonomous Networks: self-optimizing and self-healing network implementations; portfolio of autonomous network use cases - Agentic AI & Data Optimization: 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 ChromaDB); prompt engineering for efficient agent reasoning; LLM fine-tuning and instruction optimization; graph databases for ne