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Cloud 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 ... Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred). Required ...

IBM

Data Engineer Intern 2027

Dallas, TX · On-site

Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit ... Job Title Data Engineer Intern 2027 Date posted 13-Aug-2026 Job ID 128614 City / Township / Village ...

New

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 ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

New

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 ... Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

New

Veryable, Inc.

Platform Engineer Intern

Dallas, TX · On-site

Veryable is looking for a Software Engineering intern to help the Platform Engineering team ... An opportunity to work with a world-class team, and gain exposure to Cloud Infrastructure Scaling ...

Ericsson

Integration Engineer - Intern

Plano, TX · On-site

As an Integration Engineer Intern, you'll play an essential role in ensuring seamless software and ... Plan, deploy, and integrate software products within Cloud Infrastructure environments * Innovate ...

New

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

As a Junior Engineering Intern at Resolve Tech Solutions, you will not only contribute to our core products and services but also focus on achieving specific learning goals in cloud computing ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred). Required ...

IBM

Intern Oracle Cloud 2027

Dallas, TX · On-site

$16.50 - $21.50/hr

Join IBM's Oracle Cloud Practice as an Intern and gain hands-on experience helping clients ... Business/Finance/Accounting, Supply Chain Management, Industrial Engineering, Human Resources)

New

Oracle

OCI Software Engineer Intern - OVIP

Austin, TX · On-site

$30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... customer and developer communities; and 469 independent user communities in 97 countries ... OCI is committed to providing the best in cloud products that meet the needs of our customers who ...

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Cloud Engineer Intern information

What are the common responsibilities of a cloud engineer intern?

As a Cloud Engineer Intern, you can expect to assist with activities such as configuring and deploying cloud infrastructure, supporting the automation of deployment processes, monitoring system performance, and troubleshooting cloud environments under the guidance of senior engineers. You may work closely with software development, operations, and security teams to implement best practices and ensure cloud systems run smoothly. Interns are often given opportunities to contribute to documentation, test new tools, and learn hands-on by participating in real-world projects. This experience provides valuable exposure to both the technical and collaborative aspects of cloud engineering, helping you build a strong foundation for future roles.

What is a cloud engineer intern?

A Cloud Engineer Intern is responsible for assisting in the design, implementation, and maintenance of cloud-based systems and services. They typically work with cloud platforms like AWS, Azure, or Google Cloud to optimize infrastructure, support deployments, and enhance security. Interns may also collaborate with teams to troubleshoot issues, write scripts for automation, and improve system performance. This role provides hands-on experience with cloud technologies, helping interns build skills for a future career in cloud engineering.

Are cloud engineer interns still in demand?

Cloud engineer internships remain in demand as companies continue to adopt cloud technologies like AWS, Azure, and Google Cloud. Interns with skills in scripting, networking, and cloud platforms are sought after to support ongoing digital transformation efforts.

What are the key skills and qualifications needed to thrive as a cloud engineer intern?

To excel as a Cloud Engineer Intern, you should have a solid understanding of computer science fundamentals, cloud platforms (such as AWS, Azure, or Google Cloud), and basic programming or scripting skills, often supported by coursework or relevant projects. Familiarity with tools like Terraform, Docker, Kubernetes, and experience with source control systems like Git are highly valued, and entry-level certifications (e.g., AWS Certified Cloud Practitioner) can be advantageous. Strong analytical thinking, eagerness to learn, effective problem-solving, and clear communication skills set candidates apart. These capabilities are vital for adapting to dynamic cloud environments, collaborating across teams, and rapidly acquiring new technical expertise.

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

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

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

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

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

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

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

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

Cloud Engineer Intern jobs near you
Infographic showing various Cloud Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 9% Internship, 46% Full Time, 27% Part Time, and 18% Temporary. Highlights an 91% In-person, and 9% Remote job distribution.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 23 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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