Mechanical & Digital Solutions Intern

Mechanical, Digital Solutions Intern Project Summary Development of next-generation engineering workflows that combine domain expertise with Artificial Intelligence (AI). The role focuses on connecting mechanical material property databases, engineering standards, qualification records, and critical mechanical component design and life calculators with SLB AI Tools and agents.

Key Responsibilities

Support materials and mechanical engineering teams in organizing and validating engineering data. Assist in integrating engineering databases, material property data, and seal design calculators with AI-powered applications. Support development of AI agents, copilots, and RAG solutions for engineering knowledge retrieval and decision support. Collaborate with subject matter experts to structure engineering knowledge for AI applications. Evaluate and validate AI-generated engineering recommendations. Prepare, cleanse, and structure engineering datasets for AI workflows. Develop data mappings between engineering systems, calculators, and AI platforms. Required Qualifications Pursuing a degree in Mechanical Engineering, Materials Engineering, Engineering Data Science, or related discipline. Strong understanding of materials science, mechanical engineering fundamentals, and engineering calculations. Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Exposure to Microsoft Copilot, ChatGPT, Azure OpenAI, or GitHub Copilot. Familiarity with Python, SQL, Power BI, APIs, and data integration concepts. Knowledge of LLMs, AI Agents, Agentic Workflows, RAG, Vector Databases, and Semantic Search. Exposure to seal design principles, elastomeric materials, and industrial applications. ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW. SLB is committed to a culture where everyone feels like they belong. To learn more about our diversity, equity, and inclusion commitments, please visi