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Ai Risk Analyst Jobs in Gilbert, AZ (NOW HIRING)

Required skills include NIST AI RMF, ISO/IEC 42001, model risk management, privacy analysis, and regulatory analysis. Primary Responsibilities Support AI risk intake, assessment, classification ...

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AI Risk and Security Architect

Scottsdale, AZ · Hybrid

$65.50 - $84.75/hr

Required skills include NIST AI RMF, ISO/IEC 42001, model risk management, privacy analysis, and regulatory analysis. Primary Responsibilities Support AI risk intake, assessment, classification ...

Leverage approved AI, analytics, automation, and visualization tools to accelerate insight ... Collaborate closely with operations, technology, risk management, and crossfunctional teams to ...

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to ... Lead AI risk assessments, model reviews, and governance committee discussions. Required Skills

Senior GRC Analyst

Phoenix, AZ · On-site

$90 - $130/hr

This role will assume ownership of the Third‑Party Risk Management (TPRM) process to gather ... AI governance * Documents and communicates all relevant findings and recommendations to ...

We are hiring for an exciting opportunity as a Fraud Risk Analyst within U.S. Bancorp ... Utilize approved AI tools, analytics platforms, and digital solutions to improve productivity ...

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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 6, 2026, the average hourly pay for ai risk analyst in Gilbert, AZ is $40.36, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $49.13 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 Gilbert, AZ?

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What job categories do people searching Ai Risk Analyst jobs in Gilbert, AZ look for?

The top searched job categories for Ai Risk Analyst jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Ai Risk Analyst jobs?

Cities near Gilbert, AZ with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Gilbert, AZ as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $83,941 per year, or $40.4 per hour.

AI Risk and Security Architect

Socket.dev

Scottsdale, AZ • On-site

$140 - $180/hr

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Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Job Title: AI Risk and Security Architect

Location: Scottsdale, Arizona (Onsite - 5 Days/Week)
Job Type: Fulltime
Domain: Retail

About the Role:

Senior AI governance and risk management professional with 3–5 years of relevant hands-on experience in AI governance, risk management, responsible AI, policy execution, risk registers, control evidence, audit readiness, model or agent lifecycle governance, privacy and regulatory analysis, and executive risk reporting.

Required skills include NIST AI RMF, ISO/IEC 42001, model risk management, privacy analysis, and regulatory analysis.

Primary Responsibilities

Support AI risk intake, assessment, classification, mitigation tracking, approval evidence, policy alignment, AI inventory quality, governance reporting, escalation preparation, and coordination with security, privacy, legal, architecture, and business stakeholders.

Required QualificationsEducation:
  • Bachelor’s degree in computer science, Information Systems, Engineering, or related discipline.
  • Equivalent work experience may be considered.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.Bounteous is willing to sponsor eligible candidates for employment visas.

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