Senior Solutions Architect - AI and Core Networks

Capgemini; Abingdon; Ibrido; GBP 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working model

Disability Confident Employer (UK)

Descrizione del lavoro

Capgemini is seeking an Autonomous Network Architect for Mobile & Fixed networks in the UK. The role focuses on programmable networks, AI-enabled architectures, and agentic systems using modern AI frameworks.

Key qualifications include hands-on autonomous network experience, strong API proficiency (REST/YANG, gRPC), and network automation with Python or Go. Hybrid role with security clearance required and travel within the UK M4 corridor.

Competenze

• Experience in telecom/mobile network architecture with hands-on autonomous network deployments.
• Proven network programmability expertise: RESTful APIs and YANG models.
• Proficiency in Python or Go for network automation and data handling.
• Experience with NETCONF/RESTCONF protocols and gRPC APIs.
• Track record of self-optimizing/self-healing network implementations.

Conoscenze

Network architecture

Network automation

Python/Go

RESTful APIs

YANG models

gRPC

AI/data optimization

Strumenti

NETCONF/RESTCONF

Kubernetes

LangChain

LangGraph

Vector databases

Google Vertex AI

Descrizione del lavoro

Autonomous Network Architect – Mobile & Fixed

network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, LangGraph, LangChain).

Your Profile

• Experience in telecom/mobile network architecture including 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:
• Data correlation and entity relationship mapping
• Data quality assessment and cleansing methodologies
• Token optimization techniques for LLM-based agents
• 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
• Caching strategies (semantic, temporal, hierarchical)
• Context window optimization techniques
• Experience implementing RAG systems or retrieval frameworks
• Experience reducing computational overhead while maintaining decision accuracy in AI systems

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

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 OutFront, CapAbility 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, and
• Meet 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 inclusivefuture 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.

Make it real | www.capgemini.com