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Ai Risk Jobs in Virginia (NOW HIRING)

Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos. * Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping. * Exposure to ...

Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos. * Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping. * Exposure to ...

Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos. * Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping. * Exposure to ...

About the Role As the Senior Architect of AI Governance & Risk , you will lead the design and operationalization of Babel Street's AI trust framework across safety, privacy, security, bias/fairness ...

About the Role As the Senior Architect of AI Governance & Risk , you will lead the design and operationalization of Babel Street's AI trust framework across safety, privacy, security, bias/fairness ...

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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:
EMERGING TECHNOLOGY / CYBERSECURITY ENGINEER

EMERGING TECHNOLOGY / CYBERSECURITY ENGINEER

Zermount, Inc

Arlington, VA • On-site

Full-time

Posted 5 days ago


Job description

Emerging Technology / Cybersecurity Engineer
Zermount is seeking a senior Emerging Technology / Cybersecurity Engineer to support a federal client in modernizing cybersecurity authorization, cloud security, architecture review, and emerging technology assessment.
This client-facing role helps accelerate secure adoption of SaaS, AI technologies, cloud services, commercial products, and emerging capabilities. The engineer will support RMF, ATO, continuous monitoring, cloud compliance, control validation, AI security testing, and risk-based authorization decisions.
Responsibilities include architecture reviews; SaaS, cloud, AI, and non-COTS assessments; review of data flows, identity models, access controls, logging, tenant isolation, and network architecture; development of reusable security patterns, test plans, control checklists, and ATO-ready evidence; documentation of risks, POA&Ms, remediation plans, and executive recommendations; vendor coordination; and continuous ATO modernization.
Candidates must have 5+ years of experience in cybersecurity, architecture, cloud security, GRC, RMF, ATO, or federal compliance. Experience with federal programs, NIST RMF/CSF, FISMA, FedRAMP, vulnerability management, cloud compliance, SaaS assessments, control validation, risk reporting, and stakeholder coordination is required.
Preferred experience includes AI/LLM security testing, generative AI risk assessment, continuous ATO, evidence automation, AWS, Azure, GCP, DevSecOps, SIEM/SOAR/GRC tools, Tenable, Splunk, Sentinel, ServiceNow, Prisma Cloud, or similar tools.
Bachelor's degree in Computer Science, IT, Cybersecurity, Engineering, or equivalent experience required. One certification is required, such as Security+, CISSP, CISM, CISA, CCSP, GCIH, AWS Security Specialty, Microsoft Cybersecurity Architect Expert, Azure Security Engineer Associate, or equivalent GIAC.
Public Trust required; Secret preferred. Remote with occasional reporting to Arlington/Alexandria, VA.
  • Ability to pass a minimum background investigation.