Senior Solutions Architect - AI and Core Networks

Job description

Your RoleAutonomous Network Architect – Mobile & FixedThis 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 ProfileRequired ExperienceExperience in telecom/mobile network architecture including hands-on experience developing and deploying autonomous network use casesNetwork

Programmability: Proven expertise with:RESTful APIs and YANG modelsPython, Go, or similar languages for network automationNETCONF/RESTCONF protocolsgRPC and other modern APIsAutonomous Networks: Demonstrated expertise in self-optimizing/self-healing network implementationsPortfolio of successful autonomous network use casesAgentic AI & Data Optimization: Data correlation and entity relationship mappingData quality assessment and cleansing methodologiesToken optimization techniques for LLM-based agentsResource-constrained AI model deploymentVector databases and semantic search (e.g., Pinecone, Weaviate, Milvus, Qdrant, and

ChromaDB)Prompt engineering for efficient agent reasoningLLM fine-tuning and instruction optimizationGraph databases for network topology and context managementFeature engineering for network telemetryETL pipeline design for real-time network dataCaching strategies (semantic, temporal, hierarchical)Context window optimization techniquesExperience implementing RAG systems or retrieval frameworksDemonstrated expertise in relevant use-case development: Experience reducing computational overhead while maintaining decision accuracy in AI systemsPortfolio demonstrating optimized agentic implementations (inference cost reduction, latency improvements)Preferred

CertificationsTM 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 NetworksNice-to-Have QualificationsExperience with Generative AI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen)Exposure to Google Vertex AI or similar cloud solutions, Gemini APIs, BigQuery or similar platformsKnowledge 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 stillencourage 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 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.​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 CapgeminiCapgemini 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​