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Job Description & How to Apply Below
Network Programmability:
Proven expertise with:
RESTful APIs and YANG models
Python, Go, or similar languages for network automationNETCONF/RESTCONF protocolsgRPC and other modern APIsAutonomous 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 reasoningLLM fine-tuning and instruction optimization
Graph databases for network topology and context management
Feature engineering for network telemetryETL 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)
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 Digital Ops and Autonomous Networks Nice-to-Have Qualifications
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
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.
Make it real – what does it mean for you?
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 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, andMeet the minimum essential criteria for the role.
Please opt in during the application process.
Capgemini. Make it real.
Need to know
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 inclusive future is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.
About Capgemini 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.
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