Autonomous Network Architect

Capgemini
Abingdon, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Abingdon, United Kingdom

Tech stack

API
Artificial Intelligence
Google BigQuery
ETL
Distributed Systems
Entity Relationship Models
Graph Database
Network Topologies
Python
Netconf
Cloud Services
Search Technologies
Data Streaming
Wireless Networks
Feature Engineering
Large Language Models
Prompt Engineering
Caching
Generative AI
Kubernetes
Optimization Algorithms
Machine Learning Operations
Virtual Agents
REST
Open Network Automation Platform

Requirements

  • 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:

  • 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 :

  • 2+ years experience implementing RAG systems or retrieval frameworks

  • 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

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

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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