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Ai Risk Analyst Jobs in Arizona (NOW HIRING)

The Sr. GRC Analyst will also assume ownership of Human Risk Management (HRM) including the ... AI governance * Documents and communicates all relevant findings and recommendations to ...

The Sr. GRC Analyst will also assume ownership of Human Risk Management (HRM) including the ... AI governance * Documents and communicates all relevant findings and recommendations to ...

The Sr. GRC Analyst will also assume ownership of Human Risk Management (HRM) including the ... AI governance * Documents and communicates all relevant findings and recommendations to ...

The analyst transforms the risk register from a static document into a dynamic governance instrument -- one that delivers a clear, current, and quantified view of organizational risk exposure to ...

The analyst transforms the risk register from a static document into a dynamic governance instrument -- one that delivers a clear, current, and quantified view of organizational risk exposure to ...

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Ai Risk Analyst information

See Arizona salary details

$14

$37

$61

How much do ai risk analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for ai risk analyst in Arizona is $37.73, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

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 and programming skills to ensure AI deployment aligns with safety 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.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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 cities in Arizona are hiring for Ai Risk Analyst jobs? Cities in Arizona with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $78,474 per year, or $37.7 per hour.
Technology Risk Advisory - AI Risk Senior Associate

Technology Risk Advisory - AI Risk Senior Associate

RSM

Phoenix, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Role Overview

The Technology Risk Advisory - AI Risk Senior Associate will play a key role in helping clients strengthen their technology, AI, and cybersecurity risk capabilities. You’ll support the design, assessment, and governance of AI and GenAI systems, evaluate cloud and data controls, and contribute to emerging risk frameworks that keep pace with rapid innovation.

This role blends hands‑on technical exposure with structured risk thinking—ideal for someone who can navigate both model development concepts and regulatory expectations.

Key Responsibilities

  • AI/ML Risk Assessments — Support and execute risk and compliance assessments for AI/ML and GenAI systems, including model lifecycle controls, data governance, and responsible AI considerations.
  • Technology & Cloud Compliance — Evaluate IT, cloud, and data environment controls (IAM, encryption, logging, monitoring, network segmentation).
  • Model Governance Support — Contribute to model documentation, testing artifacts, lineage tracking, and change management for AI systems.
  • Emerging Technology Risk — Support assessments related to GenAI, automation, cloud-native architectures, and digital transformation initiatives.
  • Software & Data Engineering Fundamentals — Apply understanding of APIs, data pipelines, testing, and version control to evaluate technical risk.
  • Cross‑Functional Collaboration — Work with engineering, data science, cybersecurity, model risk, and audit teams across the 1st and 2nd lines of defense.
  • Client Delivery — Support workplans, manage assigned tasks, gather requirements, and contribute to high‑quality client deliverables.
  • Risk Translation — Translate technical design elements (data flows, model behavior, system architecture) into clear risk considerations.
  • Communication & Reporting — Prepare documentation, assessment outputs, and stakeholder‑ready reporting that simplifies complex AI and technology concepts.

Required Experience & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Risk, or related field.
  • 2–5 years supporting delivery of technology solutions, with exposure to AI/ML or GenAI and experience in risk, compliance, audit, or regulated environments.
  • Working knowledge of modern ML/GenAI stacks (Python, model development frameworks, embeddings, RAG concepts).
  • Hands‑on contribution to model development, evaluation, or implementation.
  • Experience assessing or implementing AI systems on cloud platforms (IAM, encryption, data governance, environment controls).
  • Solid understanding of software engineering fundamentals: APIs, data pipelines, testing, version control, CI/CD exposure.
  • Ability to translate technical design into risk and control implications with guidance.
  • Experience supporting AI governance and model risk documentation.
  • Strong analytical and problem‑solving skills with the ability to structure ambiguous problems.
  • Consulting fundamentals: requirement gathering, task management, coordination across teams.
  • Effective communicator able to translate technical concepts into clear business and risk language.

Preferred Qualifications

  • Certifications such as AAIA, AAISM, AIGP, CISA, CISSP, CCSP, CRISC, or AI‑focused credentials.
  • Experience with AI risk frameworks, responsible AI principles, or cloud compliance programs.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $77,700 - $146,900

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.