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Ai Internships Jobs in Virginia (NOW HIRING)

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site

$85K - $105K/yr

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site +1

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

Dev Technology

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust ... Interns will be based out of our headquarters in Reston, Virginia. This is an excellent opportunity ...

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Ai Internships information

What are AI internships?

AI internships are temporary positions offered by companies or research institutions to students or recent graduates interested in artificial intelligence. These internships provide hands-on experience working on real-world AI projects, such as machine learning, data analysis, or natural language processing. Interns often collaborate with experienced professionals, learn industry tools and methodologies, and gain practical skills that can help launch a career in AI. Typically, these positions can be found in tech companies, startups, academic labs, or research organizations.

What types of projects can AI interns typically expect to work on during their internship?

AI interns are often involved in hands-on projects such as data preprocessing, building and training machine learning models, or contributing to research initiatives. They may help analyze datasets, optimize algorithms, and collaborate with data scientists and engineers on real-world business challenges. The specific projects will depend on the company's focus but frequently include natural language processing, computer vision, or predictive analytics tasks. This exposure helps interns build practical skills and gain valuable experience working in multidisciplinary teams.

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

To thrive as an AI Intern, you typically need a background in computer science, mathematics, or a related field, with foundational knowledge of machine learning and programming languages like Python. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is often expected. Strong problem-solving abilities, curiosity, and effective communication skills help you succeed in collaborative and fast-paced research environments. These skills and qualities are essential for contributing to innovative AI projects and adapting quickly to evolving technologies.

What is the difference between Ai Internships vs Data Science Internships?

AspectAi InternshipsData Science Internships
Required CredentialsBasic programming, machine learning knowledge, relevant courseworkStatistics, programming, data analysis skills, relevant coursework
Work EnvironmentTech companies, startups, research labs focusing on AI projectsTech firms, consulting, research institutions analyzing data
Employer & Industry UsageAI development, machine learning applications, automationData analysis, predictive modeling, business insights

Ai Internships and Data Science Internships share overlapping skills like programming and data analysis, but AI internships focus more on developing artificial intelligence models and algorithms, while data science internships emphasize data analysis and insights. Both roles are common in tech industries and require similar foundational skills, making them closely related but distinct in their focus areas.

What are popular job titles related to Ai Internships jobs in Virginia?

For Ai Internships jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Internships jobs in Virginia look for?

The top searched job categories for Ai Internships jobs in Virginia are:

What cities in Virginia are hiring for Ai Internships jobs?

Cities in Virginia with the most Ai Internships job openings:

Ai Internships jobs near you
Infographic showing various Ai Internships job openings in Virginia as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Federal AI Solutions Engineer

A-TEK Inc.

Mclean, VA • On-site

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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

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