Senior Solutions Architect - AI and Networks – Mobile & Fixed

Capgemini Engineering; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Capgemini Engineering is seeking a specialist to design and implement autonomous network use-case solutions for mobile and fixed telecom environments. The role emphasizes network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks.

You will work on hands-on network automation, RAG systems, vector DBs, and semantic search, with a focus on reducing computational overhead while maintaining decision accuracy.

Qualifications

• Experience in telecom/mobile network architecture with hands-on autonomous use cases.
• Proven network programmability expertise with REST APIs and YANG models.
• Programming in Python or Go for network automation and data tasks.
• Familiarity with NETCONF/RESTCONF, gRPC and modern API technologies.
• Track record in self-optimizing/self-healing networks and autonomous use cases.
• Experience implementing RAG systems, data fusion, and entity mapping.
• Knowledge of vector DBs and semantic search for AI agents.
• Exposure to cloud AI platforms (Vertex AI or equivalent) and LangChain tooling.
• Strong understanding of graph databases for topology and context management.
• Awareness of telemetry optimization, caching, and context window strategies.

Skills

Telecom network architecture

Network Programmability

RESTful APIs

YANG models

Python/Go

NETCONF/RESTCONF

gRPC

Autonomous Networks

RAG systems

Vector databases

LangChain/LangGraph

Token optimization for LLM

Graph databases

Kubernetes

Semantic search

Tools

Google Vertex AI

Pinecone

Weaviate

Milvus

Qdrant

ChromaDB

BigQuery

LangChain

LangGraph

Job description

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

• 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:
• Experience implementing RAG systems or retrieval frameworks
• 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 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.)
• 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 withCapgemini (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.

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 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.

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.