Senior Solutions Architect - AI and Core Networks

Autonomous Network Architect – Mobile & Fixed

This is a specialized role focused on designing and implementing autonomous network use‑case solutions for mobile and 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).

Your Profile

• Experience in telecom/mobile network architecture including hands‑on experience developing and deploying autonomous network use cases.
• Network Programmability:
  • 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 (Pinecone, Weaviate, Milvus, Qdrant, 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
  • Experience reducing computational overhead while maintaining decision accuracy in AI systems
  • Portfolio demonstrating optimized agentic implementations (inference cost reduction, latency improvements)

Preferred Certifications

• 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

Nice‑to‑Have Qualifications

• 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

Benefits

• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
• Open access to digital learning platforms
• Active employee networks promoting diversity, equity, and inclusion like OutFront, CapAbility or

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

Inclusion and Diversity

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.

Security Clearance

• All roles will require a level of security clearance: BPSS, 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 (Newbury, Reading, and Slough), and occasional travel to these locations will be required.
• You can bring your whole self to work. 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.

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