Senior Solutions Architect - AI and Core Networks

CAPGEMINI; Greater London; On-site; GBP 95,000 - 140,000; Full time

Job summary

Capgemini seeks an Autonomous Network Architect – Mobile & Fixed to design and implement autonomous network use‑cases across telecom environments, emphasizing programmable networks, APIs, scalable AI architectures, and agentic systems using modern AI frameworks.

The role covers end-to-end design, deployment, and optimization of autonomous network solutions with emphasis on efficiency and scalability, within a hybrid Capgemini environment along the M4 corridor and UK clients.

Qualifications

• Experience in telecom/mobile network architecture with hands-on autonomous network use‑case development and deployment.
• Expertise in network programmability using RESTful APIs and YANG models; proficiency in Python/Go for automation.
• Strong background in autonomous networks, self‑optimizing/healing implementations, and a portfolio of use cases.
• Proficiency with token optimization, LLM agent tuning, vector databases, and RAG/ retrieval frameworks.

Skills

Network architecture

Network programmability

Autonomous networks

Agentic AI

Education

TM Forum Open API Certification

TM Forum Autonomous Network Practitioner

TMForum DigitalOps & Autonomous Networks

Tools

REST APIs

YANG models

NETCONF/RESTCONF

gRPC

Job description

Your Role

Autonomous Network Architect – Mobile & Fixed

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:
  • 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 implementing RAG systems or retrieval frameworks
• Demonstrated expertise in relevant use‑case development:
  • 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

If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.

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

Inclusion & Diversity

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.

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.

Capgemini. Make it real.