AI-Driven Mechanical Engineering Intern

Schlumberger Limited; Sugar Land (TX); On-site; USD 42,000 - 54,000; Full time

Job summary

Schlumberger Limited, located in Sugar Land, Texas, invites applications for a development-focused role bridging mechanical engineering with AI-enabled workflows. You will assist with organizing engineering data, integrating material property data, and supporting AI agents and RAG-based knowledge retrieval for decision support.

The role emphasizes collaboration with SMEs to structure engineering knowledge for AI applications, plus evaluating AI-generated recommendations and cleansing datasets

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.
• 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.

Skills

Mechanical engineering

Data analysis

Problem solving

Communication

Education

Bachelor's degree in a relevant field

Tools

Python

SQL

Power BI

APIs

Job description

Schlumberger Limited, located in Sugar Land, Texas, invites applications for a development-focused role bridging mechanical engineering with AI-enabled workflows. You will assist with organizing engineering data, integrating material property data, and supporting AI agents and RAG-based knowledge retrieval for decision support.

The role emphasizes collaboration with SMEs to structure engineering knowledge for AI applications, plus evaluating AI-generated recommendations and cleansing datasets