Senior Autonomous Network Architect – Mobile & Fixed

Capgemini; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Digital learning platforms

Job summary

Capgemini is seeking an Autonomous Network Architect to lead the design and implementation of mobile and fixed network architectures within a hybrid UK environment. You will drive network programmability, AI-enabled optimization, and scalable architectures while collaborating with Capgemini teams across the UK.

The role demands hands-on experience with autonomous network use cases, RESTful APIs, YANG models, and modern AI frameworks, with a focus on reducing compute overhead while maintaining

Qualifications

• Experience in telecom/mobile network architecture including hands-on autonomous network use cases.
• Proven network programmability with RESTful APIs and YANG models.
• Proficiency in Python or Go for network automation.
• Experience with NETCONF/RESTCONF and gRPC.
• Portfolio of self-optimizing/self-healing network implementations.
• Experience with agentic AI data optimization and vector databases.
• Familiarity with LangChain, LangGraph, LlamaIndex, AutoGen.
• Experience reducing compute overhead in AI systems.

Skills

Network Programmability

RESTful APIs

YANG models

Python

Go

NETCONF/RESTCONF

gRPC

Autonomous Networks

Agentic AI

Data Optimization

Vector databases

Prompt engineering

LLM fine-tuning

Graph databases

Kubernetes

Education

TM Forum Open API Certification

TM Forum Autonomous Network Practitioner certification

TM Forum DigitalOps and Autonomous Networks training

Tools

LangChain

LangGraph

LlamaIndex

AutoGen

Job description

Capgemini is seeking an Autonomous Network Architect to lead the design and implementation of mobile and fixed network architectures within a hybrid UK environment. You will drive network programmability, AI-enabled optimization, and scalable architectures while collaborating with Capgemini teams across the UK.

The role demands hands-on experience with autonomous network use cases, RESTful APIs, YANG models, and modern AI frameworks, with a focus on reducing compute overhead while maintaining