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Internship Microsoft Ai Jobs (NOW HIRING)

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

Apply to one of our internships today. Your career awaits. Nelnet's AI Lab is building the agent ... Microsoft 365 and cloud environment. Technical Research: Track developments in LLM frameworks ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Exposure to Microsoft Power Platform or low-code automation tools. About Black Box Black Box is a ...

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How much do internship microsoft ai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship microsoft 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 types of projects do interns typically work on during a Microsoft AI internship?

During a Microsoft AI internship, interns often get the opportunity to work on real-world projects that contribute to ongoing product development and research. These projects may involve developing machine learning models, improving existing AI algorithms, or collaborating on new features for Microsoft products like Azure AI or Office 365. Interns usually work closely with experienced engineers, data scientists, and researchers, gaining hands-on experience in areas such as natural language processing, computer vision, or responsible AI. Regular mentorship and feedback sessions are a core part of the experience, helping interns grow their technical and professional skills.

What is the difference between Internship Microsoft Ai vs Data Science Intern?

AspectInternship Microsoft AiData Science Intern
Required CredentialsRelevant coursework, programming skills, possibly some certificationsStatistics, programming, data analysis skills, relevant coursework or certifications
Work EnvironmentTech company, collaborative, project-basedTech or research company, data-focused, team-oriented
Employer & Industry UsageMicrosoft, AI and tech industryVarious industries including tech, finance, healthcare
Search & Comparison IntentInternship Microsoft Ai vs Data Science Intern

Both internships involve working with data and programming, but the Internship Microsoft Ai focuses specifically on AI development and machine learning projects at Microsoft, while Data Science Internships cover broader data analysis, statistical modeling, and insights across various industries. The choice depends on your interest in AI-specific work versus general data analysis roles.

What are the key skills and qualifications needed to thrive as an AI intern at Microsoft?

To thrive as an AI Intern at Microsoft, you need a solid foundation in computer science, programming (especially Python), and knowledge of machine learning concepts, typically supported by ongoing or completed studies in a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch and experience with cloud platforms like Azure are highly beneficial. Strong problem-solving abilities, teamwork, and the willingness to learn new technologies set outstanding interns apart. These skills and qualities are crucial for contributing to innovative projects, collaborating effectively, and maximizing your learning during the internship.

What is an internship at Microsoft AI?

An Internship at Microsoft AI is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies at Microsoft. Interns collaborate with experienced engineers, researchers, or product teams to work on real-world AI projects, often involving machine learning, data science, or software development. The internship provides mentorship, networking opportunities, and exposure to cutting-edge AI research and products, helping interns build valuable skills for their future careers.
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Internship Microsoft Ai jobs near you
Infographic showing various Internship Microsoft Ai job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA • On-site

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 hours ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply