Senior Solutions Architect - AI and Core Networks

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

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