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Ai Risk Analyst Jobs in Washington (NOW HIRING)

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Sep 13, 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 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 job categories do people searching Ai Risk Analyst jobs in Washington look for?

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

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 September 2026, with employment types broken down into 1% Internship, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $95,375 per year, or $45.9 per hour.

AI Threat Analyst - Insider Risk

Herndon, VA • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$136K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Do you have an eye for detail and a passion for building AI automation that drives innovative solutions? Join our team! As an AI Threat Analyst III, you will support the Insider Risk Program and champion the Security Program's business operations and AI-driven initiatives. You will collaborate with key program stakeholders, using cyber tools to surface insider-threat trends, advance insider-risk awareness, and enable proactive defensive and offensive security capabilities.
As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.
Responsibilities:
  • Be a trusted partner for the Security team and all Insider Risk program stakeholders - willing to collaborate cross-functionally to foster a proactive, holistic insider threat program.
  • Drive the development and deployment of complex data science, insider threat and AI security solutions.
  • Collaborate with program leadership and senior stakeholders to shape data strategy and define project goals.
  • Implement advanced AI solutions for both offense and defense security operations.
  • Ensure data quality, security, and governance.
  • Mentor and guide junior and mid-level threat analyst.
  • Lead the creation of detailed reports and visualizations to communicate insights and recommendations.
  • Implement advanced statistical models and machine learning algorithms.
  • Continuously enhance program processes, tools, and methodologies.
  • Stay abreast of industry threat trends and advancements in technology.

Qualifications You Must Have:
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related Intelligence field.
  • 5+ years of experience in data science or a related role.
  • Higher level relevant degree may substitute for experience.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
  • Experience with cyber security tools, applications and/or software such as Security Information and Event Management (SIEM)/ User and Entity Behavior Analytics (UEBA) platforms.
  • Proven ability to analyze large and unstructured data sets to discover active insider threats, uncover insider risk indicators and/or emerging AI threat trends, and identify anomalies indicative of malicious insider activities.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Data-oriented personality.
  • Ability to display strong analytical and communication skills.
  • Applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI).
  • Experience with common data science toolkits.
  • Proficiency in using query languages such as SQL.
  • Good scripting and programming skills( i.e.; Python)
  • Self-directed and outcome oriented - willing to ensure quality output, identify gaps in process, propose solutions, and drive initiatives to completion with minimal oversight.
  • An active Top Secret U.S. Security Clearance is required.

Qualifications We Prefer:
  • A continuous learner across the AI threat landscape and new training opportunities to build AI fluency on both offense and defense Security.
  • Adaptive problem solver - comfortable operating in evolving threat climates, translating novel AI-enabled risks into practical detections, policy, risk mitigations proactively.
  • Active Insider Threat, Cyber or AI certifications and/or membership across industry recognized standards (Ex. ISC2, CMU ITPM, SANS, etc.).
  • Familiarity with cloud platforms (e.g., AWS, Azure).
  • Experience with data visualization tools, such as Power BI, Tableu, etc.
  • Experience with AWS Data Warehousing: AWS RDS (PostgreSQL), Redshift.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Amazon DynamoDB.

Essential Functions:
  • Ability to manipulate and analyze large datasets.
  • Ability to work on a computer for extended periods.
  • Must be able to present complex data findings in an understandable manner.
  • Occasional travel may be required.
  • Must be able to lift up to 10 lbs occasionally.
  • Perform data cleaning, preparation, and transformation to ensure the quality and integrity of data used for analysis.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $136,114.28 - $187,157.14. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires current/active Top Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations, and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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