Mechanical AI Intern: Data-Driven Engineering

Schlumberger; Sugar Land (TX); On-site; USD 20,000 - 32,000; Full time

Job summary

Schlumberger invites a Mechanical, Digital Solutions Intern to help craft next-generation engineering workflows integrating domain expertise with AI tools. You will connect material property data, standards, and life calculators with SLB AI tools and agents, supporting data organization and AI-driven decision support.

The role emphasizes collaboration with SMEs, developing AI copilots, and validating AI-generated recommendations while preparing datasets for AI workflows.

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.

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.

Skills

Analytical skills

Problem solving

Communication skills

Education

Mechanical Engineering, Materials Engineering, Engineering Data Science or related discipline

Tools

Microsoft Copilot

ChatGPT

Azure OpenAI

GitHub Copilot

Python

SQL

Power BI

APIs

Job description

Schlumberger invites a Mechanical, Digital Solutions Intern to help craft next-generation engineering workflows integrating domain expertise with AI tools. You will connect material property data, standards, and life calculators with SLB AI tools and agents, supporting data organization and AI-driven decision support.

The role emphasizes collaboration with SMEs, developing AI copilots, and validating AI-generated recommendations while preparing datasets for AI workflows.