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Ai Audit Jobs (NOW HIRING)

Celanese Corporation

Manager, Internal Audit & Risk

Irving, TX · On-site

$93K - $124K/yr

Identity or develop strategic Internal Audit training curriculum (AI, audit methodology, technology, soft skills, etc.) * Steers the team to deliver concise workpapers, audit reports, and audit memos ...

Celanese

Manager, Internal Audit & Risk

Irving, TX · On-site

$93K - $124K/yr

Identity or develop strategic Internal Audit training curriculum (AI, audit methodology, technology, soft skills, etc.) * Steers the team to deliver concise workpapers, audit reports, and audit memos ...

Celanese Corporation

Manager, Internal Audit & Risk

Irving, TX · On-site

$93K - $124K/yr

Identity or develop strategic Internal Audit training curriculum (AI, audit methodology, technology, soft skills, etc.) * Steers the team to deliver concise workpapers, audit reports, and audit memos ...

Blue Shield of California

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 ...

Northern Trust

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

Northern Trust

AI Risk & Controls Lead

Chicago, IL

$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

Northern Trust

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 ...

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$120.2K

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How much do ai audit jobs pay per year?

As of Jul 12, 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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, AI research director, or machine learning executive. These roles often require advanced skills in data science, programming, and experience with AI tools and frameworks, and they may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and industry demand.

How do I become an AI auditor?

To become an AI auditor, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning systems. Gaining experience with data privacy, ethics, and auditing tools is also important, and relevant certifications can enhance credibility. Strong analytical skills and understanding of regulatory standards are essential for assessing AI models and ensuring compliance.

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.

What does an AI auditor do?

An AI auditor evaluates artificial intelligence systems to ensure they operate ethically, fairly, and in compliance with regulations. They review algorithms, data sets, and model outputs, often using specialized tools and frameworks, to identify biases, errors, or risks in AI applications.

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:
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Ai Audit jobs near you
Infographic showing various Ai Audit job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% 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.
Internal Audit, Artificial Intelligence Audit Vice President, Dallas

Internal Audit, Artificial Intelligence Audit Vice President, Dallas

Goldman Sachs, Inc.

Dallas, TX • On-site

$99K - $132K/yr

Full-time

Re-posted 12 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description


Internal Audit
In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes.
As a VP - Artificial Intelligence Auditor, you will provide independent assurance over the firm's AI control environment, with a focus on Generative and Agentic AI systems across their full lifecycle. The role leads audits of AI platforms and applications, evaluating controls related to data governance, model design, deployment, monitoring, building responsible AI and change management. The VP partners with audit management, project team and stakeholders, to support audit execution, reporting, management updates, and support monitoring for emerging of AI risk and audit methodology for testing.
Key Responsibilities:
  • Lead and execute comprehensive technology audits across various domains, including infrastructure, applications, data management, and cybersecurity, with a specialized focus on emerging AI technologies.
  • Conduct in-depth audits of Generative AI (e.g., Large Language Models) and Agentic AI systems throughout their entire lifecycle covering including AI regulations
  • Reviewing the provenance, quality, privacy, and bias mitigation strategies for training and inference data used in AI models.
  • Assessing the rigor of AI model design, testing, validation, and explainability (XAI) frameworks to ensure accuracy, reliability, and interpretability.
  • Evaluating controls around AI model deployment, performance monitoring, drift detection, versioning, and incident response processes.
  • Identifying and assessing risks related to AI bias, fairness, transparency, intellectual property, data leakage, and potential for unintended or harmful outputs (e.g., hallucinations in Generative AI).
  • Examining the design and controls governing autonomous decision-making, interaction protocols, safety mechanisms, and the security of multi-agent systems to prevent unintended consequences.
  • Evaluate the effectiveness of controls designed to manage technology risks, ensuring compliance with internal policies, industry best practices, and evolving regulatory requirements impacting AI in financial services.
  • Collaborate effectively with technology and business stakeholders to understand complex systems, identify control gaps, and provide actionable, value-added recommendations.
  • Prepare high-quality, impactful audit reports and presentations for senior management, clearly articulating findings, risks, and recommendations.
  • Act as a subject matter expert, providing guidance and mentorship to junior auditors and contributing to the continuous improvement of audit methodologies, particularly in the AI domain.
  • Stay current with advancements in AI technologies, cybersecurity threats, and the evolving regulatory landscape impacting financial services.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
  • Minimum of 8+ years of experience in technology audit
  • Minimum 2+ yrs of AI audit experience
  • Understanding of AI ethics principles, responsible AI frameworks, and relevant data privacy regulations (e.g., GDPR, CCPA).
  • In-depth knowledge of IT general controls, application controls, cybersecurity frameworks (e.g., NIST CSF, ISO 27001, NIST AIRMF), and data governance principles.
  • Excellent analytical, critical thinking, and problem-solving skills, with the ability to translate complex technical concepts into clear, concise audit findings.
  • Exceptional written and verbal communication skills, capable of influencing stakeholders at all levels.

Preferred Qualifications:
  • Relevant professional certifications such as Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certified in Risk and Information Systems Control (CRISC), or ISACA Advanced in AI Audit (AAIA)

About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2026. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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