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Ai Risk Analyst Jobs in Silver Spring, MD (NOW HIRING)

Fox Rothschild

Risk Mitigation Analyst

Washington, DC · On-site

The Analyst reports to the Risk Mitigation Research Manager and works collaboratively with ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Silver Spring, MD

Ai Risk Analyst information

See Silver Spring, MD salary details

$15

$41

$68

How much do ai risk analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai risk analyst in Silver Spring, MD is $41.85, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $50.96 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

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 skills and qualifications are needed to be an AI risk analyst?

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 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 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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Silver Spring, MD?

For Ai Risk Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in Silver Spring, MD look for?

The top searched job categories for Ai Risk Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Risk Analyst jobs?

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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $87,054 per year, or $41.9 per hour.

SCRM/Emerging Technology Security Analyst

K2Share LLC

Washington, DC • On-site

Full-time

Posted 26 days ago

Key responsibilities

  • Support the operation and enhancement of the client's Supply Chain Risk Management (SCRM) activities, including documentation support, stakeholder coordination, and maintenance of SCRM records.

  • Analyze third-party and technology-related security risks and prepare risk mitigation recommendations.

  • Support evaluation of the security posture of third-party technologies and emerging cyber risks.

Job description

Description

K2United is an organization that houses two distinct, national, customer-facing brands tied together by a shared purpose: setting the standard for an extraordinary workplace. Through our brands, K2Share and CareerSafe, we provide advisory services in cyber risk management and online education for workforce readiness.


Our four core values define how we show up every day:

  • Respect Others - We lead with respect, building trust and connection.
  • Internally Driven - We are relentlessly compelled to accomplish our objectives.
  • Collaborative Innovation - We create by listening, sharing, and working together.
  • Client Success - We hold our clients' mission as our own.

We believe in people who are accountable, curious, and motivated to make an impact that matters.


Our programs make a meaningful difference. CareerSafe supports more than two million users each year, while K2Share delivers cybersecurity and IT solutions that strengthen federal agencies. As part of our team, you'll help solve complex challenges in a mission-driven, small-business environment that values professional growth, collaboration, and work-life balance.


Position Summary 

Support the client's Supply Chain Risk Management (SCRM) program and the security review of AI-enabled and emerging technologies. This position analyzes third-party and technology-related security risk, maintains SCRM records and documentation, identifies gaps in current SCRM practice, and provides risk analysis and secure-implementation recommendations for software, systems, and services that incorporate AI or other emerging capabilities affecting enterprise risk. 


Key Responsibilities 

  • Support the operation and enhancement of the client's SCRM activities, including documentation support, stakeholder coordination, and maintenance of SCRM records. 
  • Analyze third-party and technology-related security risks and prepare risk mitigation recommendations. 
  • Identify gaps in current SCRM practices and recommend improvements to process, monitoring, governance, and reporting. 
  • Support evaluation of the security posture of third-party technologies and evolving cyber risks. 
  • Support AI security-related compliance, vulnerability, and risk activities for software, systems, services, and tools incorporating AI-enabled functions or emerging technologies. 
  • Perform security review support and risk analysis; develop recommendations for secure implementation and governance considerations. 
  • Coordinate with stakeholders on the security implications of emerging technical capabilities. 
  • Support secure adoption assessments for modernization, automation, and analytics opportunities. 
  • Apply OMB M-21-30, M-22-18, and M-23-16; NIST software supply chain security guidance; NIST SP 800-218 (Secure Software Development Framework); and the NIST AI Risk Management Framework and Playbook. 
  • Maintain currency with emerging NIST publications on AI topics and translate them into practical review criteria. 
  • Support compliance with the client's Secure and Trustworthy Artificial Intelligence Policy, including the written-approval workflow, required disclosures covering training data sources, learning cutoff dates and model limitations, human-oversight requirements, output review controls, and AI activity logging. 

Requirements

  • Bachelor's degree in cybersecurity, information technology, risk management, or a related field. Equivalent experience considered in lieu of degree. 
  • Four or more years in cybersecurity risk, third-party or vendor risk, or security compliance analysis. 
  • Demonstrated experience performing third-party or supply chain security risk assessments and producing written risk analyses and mitigation recommendations. 
  • Working knowledge of federal software supply chain policy - OMB M-21-30, M-22-18, and M-23-16 - and NIST SP 800-218. 
  • Familiarity with the NIST AI Risk Management Framework and the security and governance considerations specific to AI-enabled systems. 
  • Strong written analysis skills. This position produces recurring written deliverables reviewed by the OCISO. 

Preferred Qualifications 

  • SBOM generation, ingestion, and analysis experience. 
  • Experience with FedRAMP package review and third-party SaaS security assessment. 
  • Experience developing AI governance intake and review workflows, including model documentation and disclosure review. 
  • Familiarity with the FCC Covered List and covered equipment and services screening obligations. 

Applicants must be willing to take a drug test and submit to a credit and background investigation as part of the selection process. 

The U.S. government restricts access by Foreign Nationals to certain types of technology and technical data. Consequently, this posting is intended only for U.S. citizens.
 

K2United, LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected Veteran status.
 

This job description is not an exhaustive list of job responsibilities. K2United management reserves the right to change or alter this job description at any time without notice. 

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