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Generative Ai Internship Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

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 ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

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 ...

Black Box Corporation

AI Intern - Dallas, TX

Plano, TX · On-site

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 ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI/ML work * Experience with LLMs, Generative AI, NLP, or Computer Vision Work Authorization Candidates ...

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Generative Ai Internship information

What is a generative AI internship?

A Generative AI Internship is a temporary position where interns work with machine learning models that generate text, images, code, and more. Interns typically assist in research, model training, data preprocessing, and evaluation of AI-generated content. This role provides hands-on experience with technologies like large language models (LLMs) and neural networks, helping interns develop skills in AI development and deployment.

What kind of projects and responsibilities can I expect during a generative AI internship?

As a Generative AI Intern, you’ll typically work on research and development projects involving machine learning models used for content generation, image synthesis, or language processing. You may be tasked with data preprocessing, experimenting with model architectures, conducting literature reviews, and evaluating model outputs. Interns often collaborate closely with data scientists, machine learning engineers, and other team members during code reviews and brainstorming sessions. These experiences provide hands-on exposure to cutting-edge AI applications while helping you build skills necessary for future roles in the field.

What are the key skills and qualifications needed to thrive in the generative AI internship position, and why are they important?

To thrive as a Generative AI Intern, you need a strong background in computer science, machine learning fundamentals, programming (Python), and mathematics, often supported by ongoing studies in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with cloud platforms or relevant coursework are highly valued. Strong problem-solving abilities, initiative, and teamwork skills help you effectively contribute and learn in a collaborative research or development environment. These skills ensure interns can meaningfully support AI projects, adapt to emerging technologies, and communicate technical findings within the team.

Is a Generative AI internship worth it?

A Generative AI internship provides hands-on experience with AI models, machine learning frameworks, and programming languages like Python, which can enhance skills and improve job prospects in AI-related fields. It offers practical knowledge, industry exposure, and networking opportunities that are valuable for a career in artificial intelligence and data science.

What are the most commonly searched types of Generative Ai jobs in Texas?

The most popular types of Generative Ai jobs in Texas are:

What are popular job titles related to Generative Ai Internship jobs in Texas?

For Generative Ai Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Generative Ai Internship jobs in Texas look for?

The top searched job categories for Generative Ai Internship jobs in Texas are:

What cities in Texas are hiring for Generative Ai Internship jobs?

Cities in Texas with the most Generative Ai Internship job openings:

Generative Ai Internship jobs near you
Infographic showing various Generative Ai Internship job openings in Texas as of August 2026, with employment types broken down into 14% Internship, 43% Full Time, and 43% Part Time. Highlights an 100% In-person job distribution.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 29 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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