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Ai Risk Manager Jobs in Virginia (NOW HIRING)

Steampunk

Privacy & Disclosure-Risk Analyst

Mclean, VA · On-site

$83K - $99K/yr

Knowledge of AI risk management principles and frameworks, including the NIST AI Risk Management Framework (AI RMF) or similar guidance * Ability to analyze technical testing results and assess the ...

Steampunk

Privacy & Disclosure-Risk Analyst

Mclean, VA · On-site

$115 - $150/hr

Knowledge of AI risk management principles and frameworks, including the NIST AI Risk Management Framework (AI RMF) or similar guidance * Ability to analyze technical testing results and assess the ...

Deloitte

AI Governance Senior Consultant

Mclean, VA · On-site

Advising client and internal stakeholders on AI risk management, governance, compliance, and regulatory requirements, including escalating complex matters when appropriate * Developing and ...

State of Virginia

IT Risk Manager #W0115

Richmond, VA

$121K - $130K/yr

IT Risk Manager #W0115 Apply now Job no: 5109791 Work type: Full-Time (Salaried) Location: Richmond ... AI-driven governance, risk, and compliance (GRC) tools, or automated risk analytics platforms. KSA ...

Freddie Mac

$16 - $20/hr

Participate in AI-focused learning opportunities, including introductory generative AI and risk management training. * Expand your professional network through interaction with risk professionals ...

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Ai Risk Manager information

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

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

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

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

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

What cities in Virginia are hiring for Ai Risk Manager jobs?

Cities in Virginia with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Privacy & Disclosure-Risk Analyst

Steampunk

Mclean, VA • On-site

$83K - $99K/yr

Other

Posted 9 days ago

Job description

Overview
We are seeking a Privacy & Disclosure-Risk Analyst responsible for evaluating privacy and data disclosure risks associated with AI/ML models and federated learning environments. This role will perform technical privacy testing to identify potential exposure of sensitive or training data through model leakage, membership inference, federated-update reconstruction, and related disclosure-risk techniques.
The Privacy & Disclosure-Risk Analyst will analyze testing results, assess the potential impact of identified privacy vulnerabilities and information exposure, and collaborate with technical teams to identify and validate appropriate risk mitigation measures. This role requires a strong understanding of machine learning concepts, data privacy risks, applicable privacy requirements, and technical approaches for evaluating potential information disclosure from AI/ML systems.
Contributions
  • Assess privacy and disclosure risks associated with AI/ML models, training data, and federated learning environments
  • Conduct model-leakage testing to identify potential exposure of sensitive, protected, or training data
  • Perform membership-inference testing to evaluate whether information about training data can be inferred from model behavior or outputs
  • Conduct federated-update reconstruction testing to evaluate potential disclosure of sensitive information from federated learning workflows
  • Evaluate AI/ML systems for privacy vulnerabilities, unintended information exposure, and potential disclosure risks
  • Develop and execute technical test scenarios and methodologies for evaluating model and data privacy risks
  • Analyze testing results to determine the likelihood, severity, and potential impact of identified disclosure risks, including potential impacts to individuals whose information may be exposed
  • Evaluate the effectiveness of privacy-preserving controls and recommend appropriate risk mitigation measures
  • Collaborate with machine learning engineers, data scientists, cybersecurity teams, and other technical stakeholders to identify and address privacy risks
  • Conduct follow-up testing to validate remediation and privacy risk mitigation measures
  • Document testing methodologies, technical findings, supporting evidence, risk assessments, and recommended mitigation actions
  • Communicate technical privacy and disclosure risks to technical and non-technical stakeholders
  • Maintain awareness of emerging AI/ML privacy attacks, disclosure-risk techniques, privacy-preserving machine learning approaches, and evolving AI privacy and risk management guidance

Qualifications
  • Ability to obtain and maintain a government security clearance
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Cybersecurity, Information Technology, or a related technical discipline, or equivalent relevant experience
  • 5+ years of experience in cybersecurity, data privacy, machine learning, AI/ML security, or related technical disciplines
  • Experience assessing privacy, data exposure, or disclosure risks within technical systems or data environments
  • Strong understanding of machine learning concepts, model training, model outputs, and associated data privacy risks
  • Knowledge of AI/ML privacy attack techniques, including model leakage, membership inference, reconstruction, or related disclosure-risk methods
  • Experience conducting technical security, privacy, data risk, or adversarial assessments
  • Understanding of federated learning or distributed machine learning concepts and associated privacy risks
  • Knowledge of privacy-preserving techniques and controls used to reduce unintended information disclosure
  • Knowledge of AI risk management principles and frameworks, including the NIST AI Risk Management Framework (AI RMF) or similar guidance
  • Ability to analyze technical testing results and assess the potential impact and severity of identified privacy risks
  • Experience documenting technical testing methodologies, findings, risks, and recommended mitigation actions
  • Strong analytical, problem-solving, communication, and collaboration skills

Preferred:
  • Hands-on experience conducting model-leakage, membership-inference, model inversion, reconstruction, or similar AI/ML privacy testing
  • Hands-on experience assessing privacy and disclosure risks within federated learning environments
  • Experience with differential privacy or other privacy-preserving machine learning techniques
  • Experience with privacy-enhancing technologies, data minimization, de-identification, anonymization, or related data protection techniques
  • Experience using Python or other programming languages for technical privacy, security, or machine learning analysis
  • Knowledge of applicable federal privacy laws, regulations, policies, and standards related to sensitive data and information disclosure
  • Familiarity with privacy requirements applicable to health, biomedical, research, or other sensitive data
  • Experience working with sensitive, health, biomedical, research, or other protected data
  • Experience working within federal government or other highly regulated environments
  • Relevant privacy, cybersecurity, data science, or AI/ML certification

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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