At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
Lead the creation of production-grade AI systems that combine the state of the art techniques in AI/ML including but not limited to classical machine learning algorithms, modern techniques such as large-language models (LLMs), agentic AI frameworks, graph-neural networks (GNNs) and knowledge graphs to deliver autonomous, high-value business capabilities.
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.
Your profile
1. Design, pre-train, fine-tune and evaluate domain-specific LLMs; incorporate Retrieval-Augmented Generation (RAG) and prompt-engineering techniques to maximise factual accuracy and controllability.
2. Build and orchestrate multi-agent architectures with frameworks such as AutoGen, LangGraph, CrewAI and LangChain to enable autonomous task planning, tool use and self-improvement.
3. Experience and / or knowledge in AI safety techniques.
4. Implement real-time and batch inference services; expose LLM/agent capabilities through secure REST/gRPC or event-driven APIs.
5. Construct and maintain enterprise-scale knowledge graphs that feed ranking, recommendation and search pipelines.
6. Develop and optimise graph-neural-network models for link prediction, node classification and reasoning over structured and semi-structured data sets.
7. Establish MLOps practices—data/feature versioning, reproducible experiments, CI/CD, automated retraining and rollback—across cloud and on-prem platforms.
8. Mentor engineers through code reviews, design sessions and internal workshops; influence technical roadmaps and research agendas.
Core Qualifications
9. MSc/PhD in Computer Science, Machine Learning, Mathematics or related field, or equivalent industry experience.
10. 5+ years software/ML engineering; 5+ years hands-on with deep-learning frameworks (PyTorch, TensorFlow, JAX) and distributed training on top of Python language.
11. Demonstrable experience pre-training or extensively fine-tuning LLMs (GPT, Llama, Mistral, etc.) on multi-billion-token corpora, including RLHF or DPO techniques.
12. Production experience with agentic frameworks and autonomous AI agents that learn and adapt in real-world environments.
13. Hands-on knowledge of GNN libraries (PyTorch Geometric, DGL, Deep Graph Library) and graph databases (Neo4j, TigerGraph, Neptune).
14. Proven ability to architect data pipelines with Spark/Flink/Databricks and deploy on AWS, GCP or Azure using Kubernetes and Terraform.
Preferred / Bonus Skills
15. Experience optimising transformer models for edge devices (quantisation, pruning, distillation).
16. Contributions to open-source GenAI projects, patents or peer-reviewed publications.
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
What you’ll love about working here
17. Open access to digital learning platforms
18. A work environment recognized by Ethisphere as one of the World’s most Ethical companies
Need to know
19. All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
20. 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.
#LI-GP5
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.