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Ai Risk Jobs in Maryland (NOW HIRING)

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Enable teams to innovate safely through controlled, risk-aware development practices. Cross ...

Enterprise AI Architect

Baltimore, MD

$68.50 - $88.50/hr

A Governance & Risk: * Design and operationalize the AI governance framework, covering model risk management, explainability standards, bias monitoring, data lineage, and regulatory compliance ...

You will operationalize the NIST AI Risk Management Framework (RMF) across all projects to ensure fairness, interpretability, and compliance with federal ethical standards. You will lead "Gap ...

... NIST AI Risk Management Framework (RMF) across all projects to ensure fairness, interpretability, and compliance with federal ethical standards. • Lead 'Gap Analysis' and 'Risk Management ...

MD · On-site

Apply right-sized, pragmatic AI governance and risk practices appropriate to mid-market clients, prioritizing practical guardrails over enterprise-scale compliance frameworks * Identify risks ...

You will operationalize the NIST AI Risk Management Framework (RMF) across all projects to ensure fairness, interpretability, and compliance with federal ethical standards. You will lead "Gap ...

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

... Risk Mitigation" volumes. • Galvanize relationships with key federal stakeholders (Project ... to AI tools within the client environment. Qualifications : Required : • Ph.D. in Computer ...

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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 Maryland?

The most popular types of Ai Risk jobs in Maryland are:

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

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

What cities in Maryland are hiring for Ai Risk jobs?

Cities in Maryland with the most Ai Risk job openings:

Infographic showing various Ai Risk job openings in Maryland as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Principal Researcher for AI Risk Management

US Department of Commerce

Gaithersburg, MD • On-site

$118K/yr

Full-time

Posted 2 days ago

New


U.S. Department Of Commerce rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

120th of 848 rated public administrative organizations


Job description

NIST is seeking an AI risk management expert to drive national leadership in trustworthy AI technology. You will maintain NIST's AI Risk Management Framework (AI RMF), develop related ITL guidelines such as the AI RMF Playbook, and foster community engagement to promote widespread AI RMF adoption and help others manage AI risk across sectors.
This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Qualifications:For the Computer Scientist ZP-1550
Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions.
For the ZP-1550-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-1550-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

For the Social Scientist ZP-0101
Basic Requirements:
Degree: behavioral or social science; or related disciplines appropriate to the position.
OR
A combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
OR
Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
For the ZP-0101-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-0101-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

Experience includes paid and unpaid experience, including volunteer work through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:Social Scientist, ZP-0101: This position allows applicants to qualify with education. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Computer Scientist, ZP-1550: This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.Employment Type: OTHER

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