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Ai Audit Jobs (NOW HIRING)

AI Auditor, Principal

Oakland, CA · On-site

$137K - $206K/yr

The AI Internal Audit Principal will serve as a manager-level leader responsible for overseeing audit, compliance, fraud detection, and investigative work related to the use and misuse of artificial ...

AI Risk & Controls Lead

Chicago, IL · On-site

$137K - $233K/yr

Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies 🔹 AI Model Management & Oversight * Oversee AI model inventory, classification, and lifecycle management

Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies 🔹 AI Model Management & Oversight * Oversee AI model inventory, classification, and lifecycle management

AI Risk & Controls Lead

Chicago, IL · On-site

$137K - $233K/yr

Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies AI Model Management & Oversight * Oversee AI model inventory, classification, and lifecycle management * Define ...

Lead AI Risk Advisor

Columbus, OH · On-site +1

$138K - $272K/yr

AAIA Certification, ISACA Advanced in AI Audit. * Experience in risk management, audit, governance ... compliance oversight, control oversight, or other related disciplines. Skills * Project Management ...

Lead AI Risk Advisor

Frisco, TX · On-site +1

$138K - $272K/yr

AAIA Certification, ISACA Advanced in AI Audit. * Experience in risk management, audit, governance ... compliance oversight, control oversight, or other related disciplines. Skills * Project Management ...

Lead AI Risk Advisor

New York, NY · On-site +1

$138K - $272K/yr

AAIA Certification, ISACA Advanced in AI Audit. * Experience in risk management, audit, governance ... compliance oversight, control oversight, or other related disciplines. Skills * Project Management ...

Palo Alto, CA The opportunity We are building an AI-native platform for financial statement audit - one where an AI agent reads an audit workpaper, identifies the relevant assertions, evaluates ...

Lead AI Compliance Testing

Columbus, OH · Hybrid

$151K/yr

Advanced in AI Audit Certification (AAIA) ISACA * Certified Information Privacy Professional (CIPP) IAPP * Certified Public Accountant (CPA) NASBA * Certified Internal Auditor (CIA) IIA * Project ...

Lead AI Compliance Testing

Frisco, TX · Hybrid

$146K/yr

Advanced in AI Audit Certification (AAIA) ISACA * Certified Information Privacy Professional (CIPP) IAPP * Certified Public Accountant (CPA) NASBA * Certified Internal Auditor (CIA) IIA * Project ...

Lead AI Compliance Testing

Chadds Ford, PA · Hybrid

$155K/yr

Advanced in AI Audit Certification (AAIA) ISACA * Certified Information Privacy Professional (CIPP) IAPP * Certified Public Accountant (CPA) NASBA * Certified Internal Auditor (CIA) IIA * Project ...

Lead AI Compliance Testing

Draper, UT · Hybrid

$146K/yr

Advanced in AI Audit Certification (AAIA) ISACA * Certified Information Privacy Professional (CIPP) IAPP * Certified Public Accountant (CPA) NASBA * Certified Internal Auditor (CIA) IIA * Project ...

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Ai Audit information

See salary details

$61K

$120.2K

$157.5K

How much do ai audit jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai audit in the United States is $120,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $136,500.00 per year, depending on experience, location, and employer.

How do you become an AI auditor?

To become an AI auditor, individuals typically need a background in data science, machine learning, or computer science, along with knowledge of AI ethics and compliance standards. Gaining experience with AI systems, programming skills in languages like Python, and certifications in AI or data auditing can enhance qualifications for this role.

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

To thrive as an AI Auditor, you need a strong background in data analysis, machine learning principles, compliance, and risk assessment, typically supported by a relevant degree in computer science, data science, or auditing. Familiarity with AI audit frameworks, automated testing tools, and certifications like Certified Information Systems Auditor (CISA) or Certified Ethical Hacker (CEH) is often required. Critical thinking, attention to detail, and clear communication are vital soft skills for identifying issues and explaining findings to both technical and non-technical stakeholders. These skills ensure AI systems are transparent, ethical, and compliant with regulations, minimizing risk and building trust.

What is an AI audit?

An AI audit is a systematic evaluation of artificial intelligence systems to ensure they operate as intended, comply with regulations, and uphold ethical standards. This process involves assessing data quality, algorithmic fairness, transparency, privacy, and potential biases in AI models. The goal is to identify risks, improve accountability, and build trust in AI technologies by making sure they are reliable and safe for users. Organizations often conduct AI audits to meet legal requirements and industry best practices.

What is the difference between Ai Audit vs Data Analyst?

AspectAi AuditData Analyst
Required CredentialsCertifications in AI, data analysis, and auditing toolsDegree in Data Science, Statistics, or related fields
Work EnvironmentCorporate, consulting firms, or tech companies focusing on AI systemsBusiness, finance, healthcare, or tech sectors analyzing data sets
Employer & Industry UsageUsed by organizations implementing AI to ensure compliance and accuracyUsed across industries to interpret data and support decision-making
Search & Comparison IntentUnderstanding AI auditing roles and responsibilitiesAnalyzing data trends and insights for business strategies

While both roles involve working with data, Ai Audits focus on evaluating AI systems for compliance, accuracy, and ethical considerations, often requiring specialized AI knowledge. Data Analysts interpret data to inform business decisions, with a broader scope across industries. The roles overlap in data skills but differ in focus and application.

What are the typical challenges faced by professionals in AI audit roles, and how can they be addressed?

AI Audit professionals often encounter challenges such as rapidly evolving technologies, ensuring transparency in complex AI systems, and assessing compliance with emerging regulations. Staying current with the latest advancements and maintaining a solid understanding of both technical and regulatory frameworks are crucial. Collaboration with data scientists, legal teams, and business units is essential to effectively audit AI models and mitigate risks. Regular training and leveraging industry best practices can help address these challenges and ensure thorough, up-to-date audits.

How much do AI auditors make?

AI auditors typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include benefits such as bonuses and professional development opportunities.
More about Ai Audit jobs
What cities are hiring for Ai Audit jobs? Cities with the most Ai Audit job openings:
What states have the most Ai Audit jobs? States with the most job openings for Ai Audit jobs include:
Infographic showing various Ai Audit job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $120,236 per year, or $57.8 per hour.

$137K - $206K/yr

Full-time

Re-posted 6 days ago


Blue Shield Of California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

127th of 303 rated insurance


Job description


Your Role
The Internal Audit Services team provides independent, objective assurance and advisory services to help Blue Shield of California manage risk, strengthen internal controls, and improve business processes. The AI Internal Audit Principal will serve as a manager-level leader responsible for overseeing audit, compliance, fraud detection, and investigative work related to the use and misuse of artificial intelligence systems.
In this role, you will lead and oversee AI-focused audits looking at usage, systems, algorithms with a focus on identifying inappropriate, nefarious, fraudulent, and non-compliant activity. In this role you will essentially look for bad actors / activity via AI. Experience with fraud, compliance and investigations is preferred. The AI Internal Audit Principal will partner closely with audit leadership, business stakeholders, technology teams, data science teams, Compliance, Legal, HR, Privacy, Information Security, Corporate Security, and investigations partners to identify AI-related fraud risks, detect suspicious activity, and strengthen controls that prevent, identify, and respond to misuse of AI.
Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Responsibilities
Your Work
In this role, you will:
  • Lead AI-focused internal audits, advisory reviews, and investigative projects designed to detect inappropriate, nefarious, fraudulent, unauthorized, unethical, or non-compliant AI activity
  • Develop audit and investigative methodologies for detecting fraud, insider threat, compliance violations, data leakage, unauthorized automation, and misuse of internal or third-party AI platforms
  • Evaluate AI system activity, user behavior, prompts, outputs, access patterns, model interactions, system logs, configuration changes, and workflow data for indicators of bad actors or suspicious activity
  • Assess controls designed to prevent unauthorized disclosure of confidential, proprietary, regulated, member, provider, employee, or business-sensitive information through AI systems
  • Identify emerging AI-enabled fraud risks, including AI-assisted scams, synthetic identities, prompt manipulation, deepfakes, falsified documentation, automated abuse, model circumvention, and inappropriate use of generative AI tools
  • Lead cross-functional fact-finding and root-cause reviews involving suspected AI misuse, fraud, compliance violations, inappropriate data use, or circumvention of control processes
  • Design continuous monitoring approaches and analytics to identify patterns of high-risk AI usage, anomalous behavior, suspicious system interactions, and potential policy violations
  • Develop risk-based audit plans, control matrices, testing procedures, investigative workplans, and evidence standards for AI fraud, misuse, and compliance monitoring engagements
  • Supervise and coach audit team members, including review of investigative documentation, testing evidence, workpapers, issue summaries, and audit deliverables for quality, accuracy, and audit readiness
  • Communicate fraud patterns, emerging threats, root causes, control gaps, and practical recommendations to audit leadership, business partners, technology leaders, Compliance, Legal, HR, Privacy, Information Security, and executive stakeholders
  • Support annual audit planning by identifying AI platforms, business processes, high-risk use cases, data sources, and enterprise initiatives that may warrant fraud-focused audit coverage
  • Drive continuous improvement in AI fraud detection playbooks, control libraries, audit analytics, investigative templates, issue rating approaches, and remediation validation procedures
  • Promote ethical technology use, strong accountability, effective monitoring, compliant AI adoption, and a culture that identifies and escalates inappropriate AI activity
  • ISACA's Advanced in AI Audit (AAIA) certification highly desired

Qualifications
Your Knowledge and Experience
  • Requires a Bachelor's degree in Accounting, Information Systems, Computer Science, Data Science, Business Administration, Cybersecurity, Criminal Justice, Engineering, or related field; advanced degree preferred, or equivalent experience
  • Requires a minimum of 10 years of prior related experience in internal audit, IT audit, technology risk, compliance, fraud detection, investigations, information security, data governance, model risk management, or related assurance functions
  • At least 3 years of experience auditing, reviewing, investigating, governing, implementing, or monitoring artificial intelligence, machine learning, advanced analytics, automation, or data-driven decision systems
  • CISA certification required, or equivalent certification such as CIA, CISSP, CRISC, CISM, CPA, CDPSE, CFE, or other relevant audit, risk, security, privacy, investigations, fraud, or technology certification
  • Experience conducting fraud investigations, compliance reviews, insider threat investigations, suspicious activity monitoring, intelligence analysis, or forensic-style reviews preferred
  • Strong understanding of internal audit standards, investigative documentation, audit evidence, risk assessment, control testing, issue development, root-cause analysis, remediation validation, and defensible reporting
  • Working knowledge of AI misuse risks, including prompt manipulation, data leakage, model abuse, unauthorized automation, synthetic content, deepfakes, social engineering, inappropriate data use, and circumvention of controls
  • Experience using analytics platforms, AI models, machine learning techniques, SQL, Python, Databricks, Tableau, log analytics, or similar tools to identify anomalous or suspicious behavior preferred
  • Knowledge of healthcare fraud, financial fraud, cyber fraud, identity fraud, employee misconduct, vendor risk, third-party technology risk, or corporate investigations strongly preferred
  • Ability to translate technical AI, data, and system activity into clear audit risks, investigative findings, control gaps, and practical recommendations
  • Strong project management skills, including the ability to manage multiple audits, investigations, timelines, stakeholders, and deliverables
  • Experience supervising, coaching, or reviewing the work of auditors, consultants, analysts, investigators, or cross-functional project teams
  • Strong written and verbal communication skills, including experience presenting sensitive or complex issues to senior leadership

Hybrid
This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.
About the Team
About Blue Shield of California and the Ascendiun Family of Companies
As of January 2025, Blue Shield of California became a subsidiary of Ascendiun. Ascendiun is a nonprofit corporate entity that is the parent to a family of organizations including Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan; Altais, a clinical services company; and Stellarus, a company designed to scale healthcare solutions. Together, these organizations are referred to as the Ascendiun Family of Companies.
At Ascendiun, we believe in a brighter future for healthcare. As the parent to a family of four innovative healthcare companies, we're reimagining what's possible. Ascendiun is guided by the goal of transforming a dysfunctional American health care system into one worthy of our family and friends and sustainably affordable for everyone.
To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.
Our Values:
  • Honest. We hold ourselves to the highest ethical and integrity standards. We build trust by doing what we say we're going to do and by acknowledging and correcting where we fall short.
  • Human. We strive to listen and communicate effectively, and showing empathy by understanding others' perspectives.
  • Courageous. We stand up for what we believe in and are committed to the hard work necessary to achieve our ambitious goals.

Our Workplace Model:
We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:
  • For most teams, this means coming into the office two days per week.
  • Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
  • For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.
Physical Requirements:
Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
Please click here for further physical requirement detail.
Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

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