ZipRecruiter

Log In

1

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 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 ...

Nace AI

Financial Audit Consultant

Palo Alto, CA · On-site

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 ...

eTeam

Project Coordinator III

This role will help scale operationally complex quality initiatives across multiple languages and AI use cases, owning the operational execution of the quality audit program and delivering data ...

New

next page

Showing results 1-20

All JobsAi Audit Jobs

Ai Audit information

See salary details

$61K

$120.2K

$157.5K

How much do ai audit jobs pay per year?

As of Jun 21, 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-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

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 certifications in AI or data governance can enhance your qualifications.

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 usage, and model outputs, often using specialized tools and techniques to identify biases, errors, or vulnerabilities. This role requires knowledge of AI technologies, data analysis, and relevant standards or certifications.

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:
What job categories do people searching Ai Audit jobs look for? The top searched job categories for Ai Audit jobs are:
Ai Audit jobs near you
Infographic showing various Ai Audit job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $120,236 per year, or $57.8 per hour.

Sr. Manager, AI Audit & Automation

Fanatics Inc.

Jacksonville, FL • On-site

Full-time

Posted 10 days ago

Fanatics rating

7.1

Company rating: 7.1 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

121st of 716 rated retailers

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
The Role
This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements.
This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains.
The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale.
What You'll Do
  • Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end.
  • Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements.
  • Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT.
  • Manage Claude API and enterprise LLM integrations - prompt engineering, structured output design, error handling, and performance optimization.
  • Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools.
  • Design and execute full population audit testing using Alteryx, Python, or SQL - replacing sample-based testing where data access permits.
  • Develop continuous monitoring scripts that flag control exceptions in real time rather than at periodic testing intervals.
  • Establish performance metrics and continuously optimize deployed solutions to produce measurable, auditable improvements in audit efficiency and control evaluation quality.
  • Produce and maintain comprehensive technical documentation: model artifacts, system architecture diagrams, validation protocols, and data lineage records that satisfy both internal audit standards and external scrutiny.
  • Drive adoption within Internal Audit by designing user-centric implementations, translating technical concepts for non-technical audiences, and delivering hands-on training to ensure durable workflow integration.
  • Evaluate emerging AI, machine learning, and LLM technologies on an ongoing basis to assess applicability and scalability within Internal Audit environments.
  • Serve as the technical lead for audit management system integration, overseeing scalable connectivity of AI tools, workflow automation, and enterprise platforms.

What We're Looking For
  • 4+ years in data science, AI/ML, analytics, or software engineering.
  • Hands-on production deployment of AI/ML solutions.
  • Demonstrated experience building or managing AI agents and automation frameworks.
  • Enterprise LLM tool experience - Claude, ChatGPT, Perplexity, or equivalent - including prompt engineering and structured output design.
  • CI/CD, containerization, or MLOps implementation in an enterprise environment.
  • Cloud platform experience in AWS, Azure, or GCP.
  • Experience with large-scale data platforms such as Snowflake.
  • Python and SQL proficiency.
  • Functional HTML, CSS, and JavaScript for frontend development and dashboarding.
  • REST API integration - consuming and orchestrating external APIs.
  • Git - version control, branching, pull requests, and code review.
  • Working knowledge of model governance, validation, and responsible AI practices.
  • Understanding of AI ethics principles and applicable data privacy regulations (GDPR, CCPA, and equivalent).
  • Ability to translate complex technical concepts into audit-relevant findings and stakeholder communications.
  • Audit and domain knowledge
  • Working knowledge of SOX IT General Controls
  • Understanding of evidence sufficiency standards and workpaper documentation requirements.
  • Familiarity with PCAOB AS 2605 or equivalent assurance standards.
  • Experience deploying automation or analytics tools within an audit, risk, or compliance function.
  • Ability to translate audit requirements into technical specifications independently.
  • Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related field is required. Advanced degree (MS or PhD) in Machine Learning, Statistics, or Computer Science is a plus.

Preferred Experience
  • Internal Audit, Risk, Compliance, or Financial Services experience.
  • Familiarity with audit management systems or GRC platforms.
  • Experience integrating AI tools with enterprise systems and platforms.
  • Big 4 or advisory firm experience in audit technology practice.
  • Digital commerce, e-commerce, or sports and entertainment industry background.
  • Experience in a PE-backed or high-growth technology company environment.

Preferred Credentials
  • CISA, AAIA, CRISC, CISSP
  • AWS, Azure, or GCP Machine Learning Specialty, or data science certifications.

What We Offer
  • Direct ownership of a high-visibility AI program with executive sponsorship and an existing foundation of production tools to build upon.
  • Partnership with an engaged Director who has built the technical architecture and is looking for a builder, not a dependent.
  • Collaboration with the CAE, VP Internal Audit, Sr. Director Organizational Change Management, CISOs, CTOs, CDOs, IT, Information Security, and business stakeholders across Fanatics.
  • Competitive base salary, performance bonus, and benefits.
  • The opportunity to shape how Internal Audit is delivered at one of the most recognized brands in sports and digital commerce.

The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$129,000-$175,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

What Fanatics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply