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About the Role
This specialized role focuses 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.
Responsibilities
- Design and implement autonomous network use-case solutions.
- Develop and deploy autonomous network use cases.
- Implement self-optimizing/self-healing network solutions.
- Develop successful autonomous network use cases.
- Implement RAG systems or retrieval frameworks.
- Develop relevant use cases.
- Reduce computational overhead while maintaining decision accuracy in AI systems.
- Implement optimized agentic solutions, focusing on inference cost reduction and latency improvements.
Requirements
- Experience in telecom/mobile network architecture.
- Hands-on experience developing and deploying autonomous network use cases.
- Proven expertise with RESTful APIs and YANG models.
- Experience with Python, Go, or similar languages for network automation.
- Experience with NETCONF/RESTCONF protocols.
- Experience with gRPC and other modern APIs.
- Demonstrated expertise in self-optimizing/self-healing network implementations.
- Portfolio of successful autonomous network use cases.
- Experience with data correlation and entity relationship mapping.
- Experience with data quality assessment and cleansing methodologies.
- Experience with token optimization techniques for LLM-based agents.
- Experience with resource-constrained AI model deployment.
- Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, Milvus, Qdrant, and ChromaDB).
- Experience with prompt engineering for efficient agent reasoning.
- Experience with LLM fine-tuning and instruction optimization.
- Experience with graph databases for network topology and context management.
- Experience with feature engineering for network telemetry.
- Experience with ETL pipeline design for real-time network data.
- Experience with caching strategies (semantic, temporal, hierarchical).
- Experience with 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).
- All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
Skills
- Network Programmability
- Autonomous Networks
- Agentic AI & Data Optimization
- RESTful APIs
- YANG models
- Python
- Go
- NETCONF
- RESTCONF
- gRPC
- Data correlation
- Entity relationship mapping
- Data quality assessment
- Data cleansing
- Token optimization
- LLM agents
- Resource-constrained AI model deployment
- Vector databases
- Semantic search
- Prompt engineering
- LLM fine-tuning
- Instruction optimization
- Graph databases
- Network telemetry
- ETL pipeline design
- Caching strategies
- Context window optimization
- RAG systems
- Retrieval frameworks
- Generative AI frameworks
- Google Vertex AI
- Gemini APIs
- BigQuery
- Network telemetry optimization
- gRPC telemetry
- Streaming telemetry
- Distributed systems
- Kubernetes
Location
- Newbury
- Reading
- Slough
Work Type
- Hybrid
- Permanent
Experience Level
- Advanced
Education Level
- TM Forum Open API Certification (at least one domain: RAN, Core, OSS, etc.)
- TM Forum Autonomous Network Practitioner certification (or equivalent)
- Equivalent advanced TMForum training in DigitalOps and Autonomous Networks
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 Women@Capgemini
About the Company
- Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
- We imagine the future of organisations and make it real with AI, technology and people.
- With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries.
- We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
- The Group reported 2025 global revenues of €22.5 billion.
Equal Opportunity
- 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.
- 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.