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Pipeline Engineer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Build and maintain data pipelines, including preprocessing and quality checks. * Support testing ...

Ericsson Inc.

Integration Engineer - Intern

Plano, TX · On-site

As an Integration Engineer Intern, you'll play an essential role in ensuring seamless software and infrastructure integration, working with AI-enabled tools and machine learning pipelines that ...

New

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

Utilize vprogram languages like Python to build data pipelines, extracting and transforming data ... Job Title Data Engineer Intern 2027 Date posted 13-Aug-2026 Job ID 128614 City / Township / Village ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Utilize program languages like Python to build data pipelines, extracting and transforming data ...

IBM

Data Engineer Intern 2027

Dallas, TX

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Utilize program languages like Python to build data pipelines, extracting and transforming data ...

Ericsson

Integration Engineer - Intern

Plano, TX · On-site

As an Integration Engineer Intern, you'll play an essential role in ensuring seamless software and infrastructure integration, working with AI-enabled tools and machine learning pipelines that ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Build and maintain data pipelines, including preprocessing and quality checks. * Support testing ...

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Pipeline Engineer Intern information

What does a pipeline engineer intern do?

A Pipeline Engineer Intern assists in the design, construction, and maintenance of pipelines that transport oil, gas, water, or other materials. Their responsibilities often include supporting senior engineers with technical calculations, preparing project documentation, and conducting site visits to monitor progress. Interns may also help ensure compliance with safety and environmental regulations, and use software tools for modeling and analysis. This role provides hands-on experience and helps interns develop a deeper understanding of the pipeline industry.

What types of projects and tasks can a pipeline engineer intern expect to work on during their internship?

As a Pipeline Engineer Intern, you can expect to work on a variety of tasks that support the design, analysis, and maintenance of pipeline systems. Typical responsibilities may include assisting with drafting and reviewing technical drawings, performing calculations for pipeline flow and pressure, supporting field inspections, and helping ensure compliance with safety and environmental regulations. You’ll often collaborate closely with experienced engineers, construction teams, and other interns, gaining hands-on experience with industry-standard software and project workflows. This internship provides a solid foundation for understanding the full lifecycle of pipeline projects and offers opportunities to build technical and teamwork skills.

What are the key skills and qualifications needed to thrive as a pipeline engineer intern, and why are they important?

To thrive as a Pipeline Engineer Intern, you need a solid understanding of engineering principles, basic knowledge of pipeline systems, and pursuit of a relevant degree such as civil, mechanical, or petroleum engineering. Familiarity with CAD software, GIS tools, and industry codes or standards is often expected, and internships may favor candidates with introductory certifications in safety or engineering fundamentals. Strong analytical thinking, attention to detail, effective communication, and eagerness to learn make candidates stand out. These skills are critical to ensuring safe, efficient pipeline operations and successful collaboration within project teams.

What is the difference between Pipeline Engineer Intern vs Pipeline Engineer?

AspectPipeline Engineer InternPipeline Engineer
CredentialsEnrolled in or recent graduate of engineering or related programBachelor's degree in Civil, Mechanical, or Petroleum Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentInternship setting, assisting with design, maintenance, and monitoring tasksFull-time professional role, responsible for planning, designing, and overseeing pipeline projects
Employer & Industry UsageInternships offered by engineering firms, energy companies, and construction firmsFull-time positions in oil & gas, energy, and infrastructure industries

The main difference between a Pipeline Engineer Intern and a Pipeline Engineer is experience and responsibility level. Interns are typically students or recent graduates gaining practical experience, while Pipeline Engineers are fully responsible for pipeline design, safety, and project management.

What are the most commonly searched types of Pipeline Engineer jobs in Texas?

The most popular types of Pipeline Engineer jobs in Texas are:

What are popular job titles related to Pipeline Engineer Intern jobs in Texas?

For Pipeline Engineer Intern jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Pipeline Engineer Intern jobs in Texas look for?

The top searched job categories for Pipeline Engineer Intern jobs in Texas are:

What cities in Texas are hiring for Pipeline Engineer Intern jobs?

Cities in Texas with the most Pipeline Engineer Intern job openings:

Pipeline Engineer Intern jobs near you
Infographic showing various Pipeline Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 48% Internship, 34% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 25 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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