ZipRecruiter

Log In

1

Cloud Engineer Intern Jobs (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 ...

CUBRC Inc.

Software Engineer Intern

Buffalo, NY · Remote

$24 - $35/hr

SOFTWARE ENGINEER INTERN Position Summary: The successful candidate will perform research on new ... of cloud computing technologies to implement solutions. The successful candidate will have a ...

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 ...

Mantari

Software Engineer Intern

Torrance, CA · On-site

Support deployment and DevOps workflows, including CI/CD pipelines and cloud infrastructure ... Intern projects will be tailored to company needs and student skillsets closer to the start date.

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

At Nirmata, our mission is to accelerate adoption of cloud native technologies for enterprises. We ... As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ...

Stonebranch

Solution Engineer Intern

Alpharetta, GA · On-site

Your Part in this Growth Story As a Solution Engineer Intern at Stonebranch, you'll play an active ... Understanding of cloud platforms such as AWS, Microsoft Azure, or OpenStack; exposure to containers ...

Insight

AI Engineer Intern

Chicago, IL · On-site

As an Intern Gemini Enterprise AI Specialist, you will support the development of next-generation ... Basic Cloud Knowledge: Familiarity with core cloud concepts (compute, storage, identity). * Coding ...

Stonebranch

Solution Engineer Intern

Alpharetta, GA · On-site

Your Part in this Growth Story As a Solution Engineer Intern at Stonebranch, youll play an active ... Understanding of cloud platforms such as AWS, Microsoft Azure, or OpenStack; exposure to containers ...

Notable

Security Engineer Intern

San Mateo, CA · On-site

As a Security Engineer Intern, you will help design, build, and automate controls that protect our ... Implement small, measurable improvements to cloud security posture (e.g., misconfiguration checks ...

next page

Showing results 1-20

All JobsCloud Engineer Intern Jobs

Cloud Engineer Intern information

See salary details

$11

$19

$29

How much do cloud engineer intern jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for cloud engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are some common responsibilities assigned to Cloud Engineer Interns during their internship?

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 job?

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.

What are the key skills and qualifications needed to thrive in the Cloud Engineer Intern position, and why are they important?

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.

More about Cloud Engineer Intern jobs
What cities are hiring for Cloud Engineer Intern jobs? Cities with the most Cloud Engineer Intern job openings:
What are the most commonly searched types of Cloud Engineer jobs? The most popular types of Cloud Engineer jobs are:
What states have the most Cloud Engineer Intern jobs? States with the most job openings for Cloud Engineer Intern jobs include:
What job categories do people searching Cloud Engineer Intern jobs look for? The top searched job categories for Cloud Engineer Intern jobs are:
Cloud Engineer Intern jobs near you
Infographic showing various Cloud Engineer Intern job openings in the United States as of June 2026, with employment types broken down into 50% Internship, 33% Full Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
AI Engineer Intern - USA

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Posted 4 days ago

Key responsibilities

  • Build and integrate AI solutions using pre-trained LLMs, traditional machine learning techniques, and deterministic approaches for real-world use cases.

  • Develop, test, and maintain AI agents, backend services, data pipelines, and user interfaces, and integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

  • Support testing, debugging, deployment, and monitoring of AI services, and document AI workflows and integrations.

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.

Apply