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Ai Risk Analyst Jobs in Washington (NOW HIRING)

Business Risk Analyst I Location: Hybrid in Washington DC Work Authorization: US Citizenship ... Team player who works in a professional manner About BlueVoyant BlueVoyant is an AI-driven ...

Business Risk Analyst I Location: Hybrid in Washington DC Work Authorization: US Citizenship ... Team player who works in a professional manner About BlueVoyant BlueVoyant is an AI-driven ...

AI Governance Analyst

Reston, VA

$86.30K - $102.50K/yr

... Governance Analyst role sits within the Technology Risk & Compliance function and focuses on ... The role is responsible for coordinating AI risk assessments, maintaining visibility into AI use ...

... leading AI-infused scenario planning and analysis platform so our customers can outpace their ... As our new Third Party Risk Analyst , you will play a critical role in protecting Anaplan by ...

... leading AI-infused scenario planning and analysis platform so our customers can outpace their ... As our new Third Party Risk Analyst , you will play a critical role in protecting Anaplan by ...

... AI, risk assessment for integration of acquired company technology, and other large scale architecture transformation programs. You will leverage your analytical and risk management expertise to ...

AI Governance Analyst

Reston, VA

$86.30K - $102.50K/yr

... Governance Analyst role sits within the Technology Risk & Compliance function and focuses on ... The role is responsible for coordinating AI risk assessments, maintaining visibility into AI use ...

AMA Consulting, LLC, a Maryland-based Limited Liability Company, provides analytical, acquisition ... Develop AI risk assessment frameworks for federal mission environments. * Establish policies for ...

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Ai Risk Analyst information

See Washington salary details

$17

$45

$74

How much do ai risk analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for ai risk analyst in Washington is $45.85, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $55.82 per hour, depending on experience, location, and employer.

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

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What cities in Washington are hiring for Ai Risk Analyst jobs? Cities in Washington with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Washington as of May 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 73% In-person, 9% Hybrid, and 18% Remote job distribution, with an average salary of $95,375 per year, or $45.9 per hour.
AI Risk & Evaluation Subject Matter Expert

AI Risk & Evaluation Subject Matter Expert

Elder Research

Arlington, VA • Hybrid

Full-time

Posted 8 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.