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How much do artificial intelligence policy jobs pay per year?

As of Aug 20, 2026, the average yearly pay for artificial intelligence policy in the United States is $131,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $145,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence policy?

An Artificial Intelligence Policy job focuses on developing, analyzing, and advising on policies related to the ethical, legal, and societal impacts of AI. Professionals in this field work with governments, organizations, and businesses to ensure AI technologies align with regulations, fairness, and responsible innovation. Their tasks may include drafting legislation, creating corporate AI governance frameworks, and assessing AI-related risks. These roles require expertise in technology, law, ethics, and public policy to navigate the evolving landscape of AI governance.

What does a typical week look like for someone working in artificial intelligence policy?

A typical week in Artificial Intelligence Policy involves conducting policy analysis, engaging with cross-functional teams (such as legal, technical, and governmental affairs), and drafting recommendations or position papers on emerging AI issues. You may attend meetings with industry leaders, regulators, or advocacy groups to discuss best practices and interpret new regulations. The role often includes staying up-to-date on global policy developments, preparing briefings, and organizing or participating in public forums or stakeholder workshops. This dynamic environment requires adaptability and a passion for shaping the future of responsible AI use.

What are the key skills and qualifications needed to thrive in artificial intelligence policy?

To thrive in Artificial Intelligence Policy, you need a deep understanding of AI technologies, data privacy laws, and regulatory frameworks, typically supported by an advanced degree in law, public policy, or a related technical field. Familiarity with regulatory analysis tools, standards organizations, and policy research databases is commonly required, and certifications in AI ethics or compliance can be advantageous. Strong analytical thinking, persuasive communication, and stakeholder management skills distinguish top professionals in this field. These competencies are crucial to effectively shaping, evaluating, and implementing responsible AI policies that balance innovation with societal and legal considerations.

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Infographic showing various Artificial Intelligence Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $131,692 per year, or $63.3 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Full-time

Re-posted 25 days ago

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies for vaccines and/or therapeutics development.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • 15+ years of experience in vaccines and/or therapeutics development
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply