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Automation Engineer Intern Jobs in Dallas, TX (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 ... Contribute to AI orchestration using LangChain and workflow automation using n8n. Full-Stack ...

Danaher

Software Automation Internships

Mckinney, TX · On-site

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

Danaher

Software Automation Internships

Dallas, TX

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

Danaher

Software Automation Internships

Arlington, TX · On-site

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

Danaher

Software Automation Internships

Dallas, TX · On-site

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Contribute to AI orchestration using LangChain and workflow automation using n8n. Full-Stack ...

Copart, Inc.

QA Engineering Intern

Dallas, TX · On-site

Copart Tech - Test Automation Team is looking for an Intern with a strong foundation in TypeScript and/or Java. Developer/Programmer for the SDET role with strong Academic or Organizational or Type ...

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Automation Engineer Intern information

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How much do automation engineer intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for automation engineer intern in Dallas, TX is $19.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be an automation engineer intern?

To thrive as an Automation Engineer Intern, you should have a solid understanding of programming languages such as Python, Java, or C++, along with coursework or experience in automation, control systems, or related engineering fields. Familiarity with automation tools like PLCs, SCADA systems, and testing frameworks, as well as knowledge of relevant certifications such as Certified Automation Professional (CAP), is highly valued. Strong problem-solving, teamwork, and communication skills will help you contribute effectively within collaborative engineering environments. These skills ensure you can adapt quickly, contribute meaningfully to projects, and learn from real-world engineering challenges.

What does an automation engineer intern do?

An Automation Engineer Intern assists in designing, developing, and testing automated systems and processes to improve efficiency. They work with software, hardware, and scripting tools to automate tasks, troubleshoot issues, and optimize workflows. Interns typically collaborate with engineering teams to implement automation solutions and document processes. This role provides hands-on experience in fields like software testing, industrial automation, or DevOps, depending on the industry.

What projects and responsibilities can I expect as an automation engineer intern?

As an Automation Engineer Intern, you can expect to work on a variety of projects that may include developing or maintaining automated test scripts, assisting with the design and implementation of control systems, and troubleshooting automation processes under the guidance of senior engineers. You might also participate in continuous improvement initiatives, analyze system performance data, and support the integration of new automation technologies. Interns typically collaborate closely with multidisciplinary engineering teams, gaining exposure to real-world industrial practices and tools. These experiences provide a practical foundation and help prepare you for a full-time role in automation engineering after graduation.

What are the most commonly searched types of Automation Engineer jobs in Dallas, TX? The most popular types of Automation Engineer jobs in Dallas, TX are:
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What cities near Dallas, TX are hiring for Automation Engineer Intern jobs? Cities near Dallas, TX with the most Automation Engineer Intern job openings:
Automation Engineer Intern jobs near you
Infographic showing various Automation Engineer Intern job openings in Dallas, TX as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $39,742 per year, or $19.1 per hour.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 15 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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