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Ai Risk Jobs in Virginia (NOW HIRING)

The Opportunity As part of the Cyber, Privacy, Data & AI Risk team you will provide specialist assistance across cybersecurity, privacy, data, and AI risk. As a Senior Manager you will support the ...

AI & Innovation Governance: Design and implement AI applications, agents, and automation workflows to enhance risk monitoring efficiency, ensuring the responsible implementation and governance.

AI Governance Analyst

Reston, VA

$86.30K - $102.50K/yr

The role is responsible for coordinating AI risk assessments, maintaining visibility into AI use cases, and ensuring alignment with governance frameworks, privacy expectations, and emerging ...

AI Governance Analyst

Reston, VA

$86.30K - $102.50K/yr

The role is responsible for coordinating AI risk assessments, maintaining visibility into AI use cases, and ensuring alignment with governance frameworks, privacy expectations, and emerging ...

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Showing results 1-20

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Virginia? The most popular types of Ai Risk jobs in Virginia are:
What cities in Virginia are hiring for Ai Risk jobs? Cities in Virginia with the most Ai Risk job openings:
AI Risk & Evaluation Subject Matter Expert

AI Risk & Evaluation Subject Matter Expert

Elder Research

Arlington, VA • Hybrid

Full-time

Posted 9 days ago


Job description

AI Risk & Evaluation Subject Matter Expert


General Information

Requisition # 968

Locations USA-VA-Arlington

Posting Date 05/22/2026

Security Clearance Required - Active Public Trust at time of hire

Remote Type Hybrid (must be located in the Washington DC Area)

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI Risk & Evaluation Subject Matter Expertto join our team in Arlington, VA. This is a hybrid position with 1-2 days onsite per week.

We are seeking an experienced AI Risk Management & Evaluation Subject Matter Expert to support the development of frameworks, methodologies, and operational guidance that strengthen trustworthy AI adoption and governance. This role will help advance AI risk management practices, AI assurance approaches, standards alignment, and evaluation readiness across complex technical environments.

Responsibilities include but are not limited to:

  • Develop and maintain AI risk management and TEVV frameworks aligned to industry best practices and emerging AI standards.
  • Support AI governance activities, including risk mapping, evaluation planning, and integration of evaluation insights into operational risk management processes.
  • Produce governance briefs, standards alignment analyses, technical guidance, and executive-level reporting materials.
  • Contribute to AI standards and technical governance initiatives, including review and development of materials for standards organizations and industry working groups.
  • Collaborate with cross-functional technical and leadership teams to support trustworthy AI implementation and adoption strategies.
  • Deliver status reporting, strategic recommendations, and continuous framework enhancements based on evolving AI risks and evaluation needs

Minimum Qualifications:

  • Minimum of 8 years of experience supporting AI evaluation, assurance, measurement science, or TEVV-related activities.
  • At least 5 years of hands-on experience implementing AI risk management, AI governance, or AI assurance programs.
  • Strong understanding of AI lifecycle risk management, evaluation methodologies, and AI governance frameworks.
  • Experience developing technical frameworks, operational guidance, and executive briefings related to AI risk and evaluation.
  • Familiarity with AI standards development organizations and emerging trustworthy AI practices preferred.
  • Excellent communication, analytical, and stakeholder engagement skills.

Preferred Qualifications:

  • Knowledge of AI risk management frameworks, evaluation readiness methodologies, and standards alignment activities.
  • Experience supporting cybersecurity, critical infrastructure, manufacturing, or other high-priority AI application domains.
  • Ability to translate complex AI governance and technical concepts into actionable operational guidance.

Clearance Requirements:

  • Must have an Active Public Trust at time of hire

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.