Senior Solutions Architect - AI and Core Networks

• Experience in telecom/mobile network architecture including 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:
  • 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 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 implementing RAG systems or retrieval frameworks
• Demonstrated expertise in relevant use-case development:
• 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 DigitalOps and Autonomous Networks

• Experience with Generative AI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen)
• Exposure to Google Vertex AI or similar cloud solutions, Gemini APIs, BigQuery or similar platforms
• Knowledge of network telemetry optimization (gRPC telemetry, streaming telemetry)
• Knowledge of distributed systems and Kubernetes-based deployments

If you're excited about this role but don't meet every requirement, we stillencourage you to apply, your unique experience could be just what we need.

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, LangGraph, LangChain).

• All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.

• Location: This is a permanent role with Capgemini, offering a hybrid working model. Our clients are primarily based along the M4 corridor (including Newbury, Reading, and Slough), and occasional travel to these locations will be required.

• You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.