AI Engineer Intern (3 or 6 months) Abingdon - United Kingdom Job Title: AI Engineer Intern (3 or 6 months) - Starting Summer 2026 _Project Title: ??AI-Powered CCS Compliance Reporting System?_ About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are Location: Abingdon, Oxfordshire Description & Scope: ?? ?Develop an agentic AI system that automates the generation of subsurface Carbon Capture and Storage (CCS) compliance reports directly from our subsurface modelling software called Petrel. The system should orchestrate multiple tools such as reservoir simulation, the existing Petrel AI Assistant, and conversational insights - possibly using vector databases and LangGraph for workflow automation. In this project you will gain hands-on experience with reservoir simulation, AI-driven automation, and LLM-based solutions in a real-world energy transition context. This is an opportunity to work at the intersection of geoscience, engineering, and AI, contributing to cutting-edge digital solutions for sustainable energy.? Responsibilities: Design and implement an agentic workflow that integrates Petrel, Intersect, and AI assistants for automated report generation. Configure and run Intersect simulations with different scenarios to extract required properties. Develop LLM-based components for intelligent orchestration and conversational insights. Implement vector database solutions for storing and retrieving domain-specific knowledge. Deliver a working prototype that can generate compliance-ready reports. Document the system architecture, workflows, and user guidelines. Qualifications : Studying a ?Masters? in ?Computer Science / Data Science / Applied AI / Machine Learning / Petroleum Engineering / Geoscience / Geophysics? or a related discipline Programming: Python (essential), C# (preferred) Experience with APIs AI/ML frameworks Familiarity with LLMs, LangChain/LangGraph Databases: Vector databases (e.g., FAISS, Pinecone) Cloud & Automation: Basic knowledge of cloud environments and workflow orchestration Bonus: Knowledge of CCS domain and compliance reporting, Reservoir simulation tools: Petrel, Intersect (basic to intermediate understanding) _SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law._ _The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying._