At a Glance
- Tasks: Design and implement autonomous network solutions using cutting-edge AI technologies.
- Company: Join Capgemini, a global leader in tech transformation with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and access to digital learning platforms.
- Other info: Be part of a diverse team committed to inclusivity and career growth.
- Why this job: Make a real impact in telecom by optimising networks with AI and modern frameworks.
- Qualifications: Experience in telecom architecture and proficiency in programming languages for automation.
The predicted salary is between 81000 - 99000 £ per year.
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).
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.
- 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 Open API Certification (at least one domain: RAN, Core, OSS, etc.)
- TM Forum Autonomous Network Practitioner certification (or equivalent)
- Or equivalent advanced TM Forum 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.
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.
Autonomous Network & AI Architect (Telecom) in London employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land Autonomous Network & AI Architect (Telecom) in London
✨Get Chummy with Industry Events
Dive into telecommunications networking conferences and expos. These are golden opportunities to meet potential employers like Capgemini and learn about open positions directly from their teams. Keep an eye out for workshops or panels – they’re perfect for showcasing your passion and expertise!
✨Join Networking Communities
Find online forums or local meetups that focus on telecommunications and networking. Sites like LinkedIn Groups or Reddit communities can be great for connecting with professionals in the field. Just remember to participate in discussions – you never know when someone might mention job openings at places like Capgemini.
✨Showcase Your Skills with Personal Projects
If you’ve got any personal projects or contributions to open-source networking tools, flaunt them! Create a portfolio that showcases your skills relevant to what telecommunication companies are looking for. It’s a great conversation starter during interviews and networking chats.
✨Utilise Online Job Boards Wisely
While we’re all about encouraging you to apply through our website, also keep an eye on job boards specific to tech and telecommunication roles. Websites such as Telecommunication Jobs and TechCareers often list full-time roles that may not appear elsewhere. Just be sure to tailor every application to grab attention – even small tweaks can make a big difference!
We think you need these skills to ace Autonomous Network & AI Architect (Telecom) in London
Some tips for your application 🫡
Show Off Your Technical Know-How:When you're applying for a role in telecommunications and networking, it’s crucial to highlight your technical skills. Mention specific technologies you're proficient in, like IP networking, VoIP, or security protocols. Be sure your CV includes any relevant certifications such as CCNA or CompTIA Network+; they really show you've got the chops for the job.
Tailor Your Experience to Match Networking Projects:In your CV and cover letter, don’t just list your past jobs—showcase specific projects that align with the role! If you've worked on network design, implementation, or troubleshooting, weave those experiences in and highlight metrics to demonstrate your impact. This paints a vivid picture of how you'd fit into the role at Capgemini.
Show Enthusiasm for the Industry:With telecommunications evolving rapidly, it’s important to express your passion for the field in your application. Mention any trends or innovations you've been following that excite you and how they'd influence your work. This can really set you apart and show that you're not just after a job, but a career!
Keep It Clean and Professional:While it’s important to be personable, ensure your application maintains a clean and structured format. Use clear headings and bullet points to make it easy for hiring managers to dig into your skills and experience. Remember, you’re applying for a full-time role, so a well-organised application will signal your seriousness about the position at Capgemini.
How to prepare for a job interview at Capgemini
✨Brush Up on Networking Protocols
Make sure you’re up to speed with the key networking protocols like TCP/IP, UDP, and perhaps even MPLS if it's relevant. We can expect technical questions about how these protocols function and the problems they solve, so a solid understanding will help you shine.
✨Showcase Your Projects
Got a portfolio? Bring it along! Highlight any relevant projects where you've designed or managed network systems. This is your chance to demonstrate practical experience; employers love to see how your skills can be applied in real-world scenarios.
✨Get Comfortable with Technical Scenarios
You might be faced with a case study or a technical troubleshooting scenario during the interview. Practise responding to common networking issues—like packet loss or latency problems. Thinking through these scenarios will help us sound confident and competent in our responses.
✨Emphasise Team Collaboration Skills
In the telecommunications field, teamwork is key! Make sure to share examples of how you’ve worked collaboratively, whether in past jobs or projects at uni. Employers want to see that you’re not just technically savvy, but also great at working within a team setting.
