Your Role
Autonomous Network Architect - Mobile & Fixed
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).
Your Profile
Required Experience
* 10+ years in telecom/mobile network architecture including 2+ years hands‑on experience developing and deploying autonomous network use cases
* Network Programmability: Proven expertise with:
o RESTful APIs and YANG models
o Python, Go, or similar languages for network automation
o NETCONF/RESTCONF protocols
o gRPC and other modern APIs
* Autonomous Networks:
o Demonstrated expertise in self‑optimizing/self‑healing network implementations
o Portfolio of successful autonomous network use cases
* Agentic AI & Data Optimization:
o 2+ years experience implementing RAG systems or retrieval frameworks
o Demonstrated expertise in relevant use‑case development:
+ 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
o Experience reducing computational overhead while maintaining decision accuracy in AI systems
o Portfolio demonstrating optimized agentic implementations (inference cost reduction, latency improvements)
Preferred Certifications
* TM Forum Certifications:
o TM Forum Open API Certification (at least one domain: RAN, Core, OSS, etc.)
o TM Forum Autonomous Network Practitioner certification (or equivalent)
o 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 Women@Capgemini
Inclusive Recruitment
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.
Need to Know
* All roles will require a level of security clearance: BPSS OR Security Clearance OR Developed Vetting.
* 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.
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