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Internship Artificial Intelligence Policy Jobs (NOW HIRING)

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Maintain accurate records of student performance and attendance in accordance with college policies ... Demonstrated knowledge or experience with artificial intelligence concepts and tools (e.g., machine ...

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How much do internship artificial intelligence policy jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship artificial intelligence policy in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Artificial Intelligence Policy vs Data Privacy Intern?

AspectInternship Artificial Intelligence PolicyData Privacy Intern
Required CredentialsRelevant coursework in AI, policy, lawBackground in data privacy, cybersecurity, law
Work EnvironmentPolicy development, research, stakeholder engagementData analysis, compliance, privacy assessments
Employer & Industry UsageTech companies, government agencies, think tanksTech firms, legal departments, regulatory bodies
Search & Comparison IntentUnderstanding AI policy roles and responsibilitiesExploring data privacy internship opportunities

Internship Artificial Intelligence Policy focuses on developing and analyzing policies related to AI technology, often involving research and stakeholder collaboration. Data Privacy Internships concentrate on data protection, compliance, and privacy regulations. Both roles require knowledge of legal and technical aspects but differ in their primary focus—policy versus data security—serving different but related sectors within the tech industry.

What kinds of projects or tasks can I expect to work on during an artificial intelligence policy internship?

As an AI Policy intern, you can expect to work on research and analysis of emerging regulations, draft policy briefs, and monitor legislative developments related to artificial intelligence. You'll likely collaborate with legal, technical, and policy experts to assess the societal impacts of AI technologies and help develop recommendations or guidelines. Interns often contribute to organizing stakeholder meetings or preparing educational materials, providing a hands-on opportunity to engage with real-world policy challenges in a dynamic, interdisciplinary environment.

What is an internship in artificial intelligence policy?

An Internship in Artificial Intelligence (AI) Policy involves working with organizations, think tanks, or government agencies to research, analyze, and help shape policies related to the development and use of AI technologies. Interns may assist with drafting policy documents, monitoring legislative developments, and evaluating the societal impacts of AI. This role provides exposure to the intersection of technology, law, and ethics, and is ideal for students interested in understanding how regulations can guide the responsible implementation of AI.

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

To thrive as an Artificial Intelligence Policy Intern, you need a solid grounding in public policy, ethics, and AI concepts, often supported by coursework or a degree in related fields such as political science, computer science, or law. Familiarity with policy analysis tools, research databases, and basic data analysis software (e.g., Excel, Python) is valuable, as is understanding regulatory frameworks. Exceptional written and verbal communication, critical thinking, and the ability to synthesize complex information are essential soft skills for this role. These capabilities enable interns to effectively contribute to policy research, draft impactful recommendations, and support informed decision-making in the rapidly evolving AI policy landscape.
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Internship Artificial Intelligence Policy jobs near you
Infographic showing various Internship Artificial Intelligence Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Artificial Intelligence (AI) Engineer

AGE Solutions

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities.
Working directly with our customer's engineers, industry partners, and government stakeholders, the successful candidate will conduct technology research, support technology assessments and proof-of-concept activities, evaluate commercial and government AI solutions, and provide engineering recommendations that inform enterprise architecture, cybersecurity modernization, and future technology adoption across the DoD Information Network (DoDIN).
Responsibilities Include:
  • Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
  • Analyze commercial and government technology solutions and provide technical recommendations supporting DISA modernization initiatives.
  • Design, develop, and execute technology evaluations, laboratory testing, pilot programs, and proof-of-concept demonstrations.
  • Develop technology evaluation plans, operational use cases, success criteria, performance metrics, and technical assessment reports.
  • Develop AI prototypes and assist with transitioning successful capabilities into operational environments.
  • Evaluate AI model performance, scalability, security, and operational effectiveness.
  • Apply systems engineering principles throughout technology evaluation, integration, testing, and transition activities.
  • Develop engineering documentation, including architecture diagrams, technical analyses, white papers, CONOPS, and engineering recommendations.
  • Support DISA integration with commercial cloud providers and cloud-hosted AI capabilities.
  • Evaluate AI workloads across hybrid, on-premises, and multi-cloud environments.
  • Collaborate with DISA organizations, DoD agencies, Combatant Commands, industry partners, and other stakeholders to evaluate emerging technologies.
  • Present technical findings, recommendations, and executive briefings to government leadership and Integrated Product Teams (IPTs).
  • Support strategic technology planning, technology roadmaps, business case analyses, and technology migration strategies.

Required Skills, Qualifications, and Experience:
  • Experience:
    • 10 Years of experience
      • 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
  • Education:
    • Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience).
  • Security Clearance:
    • Must have and maintain a current DoD Top Secret Clearance.
  • Certifications:
    • Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
      • Highly Desired: Microsoft Azure AI Engineer Associate or Azure AI Fundamentals AWS Certified AI Practitioner or AWS Machine Learning Engineer
  • Experience with Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, or Generative AI technologies.
  • Experience conducting technology research, evaluations, proof-of-concepts, or pilot projects.
  • Knowledge of systems engineering principles and technology lifecycle management.
  • Experience with cloud computing platforms and AI-enabled cloud services.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to develop technical documentation, reports, and executive briefings.
  • Strong communication and collaboration skills with government and technical stakeholders.

Preferred Qualifications:
  • Experience supporting DISA, DoD, Federal Government, or Intelligence Community technology modernization programs.
  • Experience with AI governance, Responsible AI, and AI security within government or regulated environments.
  • Experience with commercial cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  • Familiarity with Zero Trust Architecture, NIST Risk Management Framework (RMF), and DoD cybersecurity policies.
  • Experience supporting enterprise architecture, technology roadmaps, and modernization initiatives.
  • Experience briefing senior government leadership and executive stakeholders.
  • Experience with DevSecOps, automation, containerization, or Kubernetes.
  • Knowledge of DISA Enterprise Integration and Innovation Center (EIIC), Risk - Management Executive (RME), or emerging technology assessment initiatives.
  • Active Top Secret clearance with SCI eligibility preferred.

Work Environment and Physical Demand:
  • This work will be conducted in an office environment. Must be able to sit for prolonged periods of time.
  • Location and Schedule:
    • Must be within commuting distance of Fort Meade, MD and able to work on-site on a hybrid schedule.
      • 1 day/week onsite required with additional days onsite if the project requires.

The projected salary range for this position is $155,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

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