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Internship Azure Ai Jobs (NOW HIRING)

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps ...

Cloud Intern

Charlotte, NC · On-site

$14.75 - $19.50/hr

Interns will gain hands-on experience with Microsoft Cloud, AI and Data technologies while ... Applying Azure AI Fundamentals knowledge to develop proof-of-concept solutions. * Using Git version ...

Interns will gain hands-on experience with Microsoft Cloud, AI and Data technologies while ... Applying Azure AI Fundamentals knowledge to develop proof-of-concept solutions. * Using Git version ...

Azure AI Fundamentals (AI-901), Azure Data Fundamentals (DP-900), AWS Certified AI Practitioner ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Experience with Azure AI Foundry agents or Palantir AIP Logic / Workshop applications.

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Internship Azure Ai information

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How much do internship azure ai jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for internship azure ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure AI Intern, and why are they important?

To thrive as an Azure AI Intern, you need a solid understanding of programming languages (such as Python or C#), basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree program. Experience with Microsoft Azure cloud services, AI tools like Azure Machine Learning Studio, and certifications such as Microsoft Certified: Azure AI Fundamentals are typically beneficial. Strong problem-solving abilities, effective communication, and a willingness to learn help set candidates apart in this collaborative, fast-evolving field. These skills and qualities are crucial for efficiently contributing to projects, adapting to new technologies, and succeeding in a dynamic AI environment.

What is the difference between Internship Azure Ai vs Data Analyst?

AspectInternship Azure AiData Analyst
Required CredentialsBasic knowledge of Azure, programming, and data conceptsDegree in Data Science, Statistics, or related field; proficiency in SQL and Excel
Work EnvironmentTech companies, cloud service providers, AI-focused teamsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageUsed in cloud computing, AI development, and machine learning projectsUsed for data interpretation, reporting, and decision-making

Internship Azure Ai roles focus on gaining hands-on experience with Azure cloud services and AI tools, often suitable for those starting in cloud and AI fields. Data Analyst roles emphasize data interpretation and reporting skills across various industries. Both roles require analytical skills but differ in technical focus and industry application.

What types of projects can I expect to work on during an Azure AI internship?

As an Azure AI intern, you will typically engage in hands-on projects that involve building, testing, and deploying AI models using Microsoft Azure's cloud-based services. You might collaborate with software engineers and data scientists to develop solutions for real-world problems such as natural language processing, computer vision, or predictive analytics. Interns often have the opportunity to contribute to both ongoing team projects and independent initiatives, allowing you to gain practical experience with Azure Machine Learning, Cognitive Services, and DevOps tools. These experiences are designed to help you build technical skills, understand industry workflows, and prepare for full-time roles in AI and cloud computing.

What is an Internship in Azure AI?

An Internship in Azure AI is a temporary position, often for students or recent graduates, that provides hands-on experience working with Microsoft Azure's artificial intelligence tools and services. Interns typically assist in developing, testing, and deploying AI solutions such as machine learning models, natural language processing, and computer vision applications using Azure's cloud platform. This role helps interns gain practical skills in cloud computing, data science, and AI, while working on real-world projects under the guidance of experienced professionals.
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AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Amot Controls LLC

Houston, TX

Full-time, Internship

Posted 2 days ago


Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)

Location: [On-site – Houston]

Duration & Schedule: 10–12 week summer internship OR 4–8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).

Key Responsibilities:

  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:

  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL — able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:

  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack — Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:

  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:

  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability