Location: Onsite in Irving, TX 3 days a week
Compensation: $70-100/hr
Start Date: ASAP (Before EOY)
Summary
The Audit AI Manager serves as the AI subject matter expert for Audit Services, partnering with Audit Advisory, Audit Compliance, and Audit Analytics, Quality & Reporting (AQR) to support AI-related advisory and assurance work and expand the responsible use of AI across Audit Services.
This role combines internal audit, risk management, controls, and technical AI expertise to help audit teams assess AI-enabled systems, identify risks, design and test controls, and develop AI-enabled audit solutions. This is an individual contributor leadership role and does not have direct people-management responsibilities.
Key Responsibilities
- Serve as the primary AI subject matter expert for Audit Services, staying current on AI technologies, risks, regulations, and audit practices.
- Support Audit Advisory by assessing AI governance, capabilities, risks, controls, maturity, and responsible adoption.
- Support Audit Compliance in auditing AI-enabled systems and processes, including developing risk assessments, audit procedures, controls testing, and validation approaches.
- Apply technical knowledge of AI architecture, data, models, security, privacy, human oversight, monitoring, and third-party dependencies to determine whether appropriate controls are in place and operating effectively.
- Evaluate emerging AI risks and vulnerabilities, including prompt injection, data exposure, inappropriate access, AI-generated outputs, and model-related risks.
- Partner with AQR to design and implement AI solutions, agents, prompts, automation, analytics, and reusable audit tools.
- Develop AI-related audit methodologies, guidance, training, and documentation standards while promoting appropriate validation, traceability, quality review, and human oversight.
- Translate complex AI concepts and risks into practical audit findings, testing approaches, and recommendations for business and Audit stakeholders.
Qualifications
- 5+ years of experience across internal audit, technology risk, AI/AI governance, compliance, controls, analytics, or related disciplines, with 2+ years of meaningful AI experience preferred.
- Strong understanding of internal audit, governance, risk management, and internal controls.
- Technical knowledge of generative AI, LLMs, machine learning concepts, AI agents, data/model lifecycles, and intelligent automation.
- Experience evaluating AI governance, risk, security, compliance, and controls through an audit lens.
- Practical experience with AI platforms, prompt/agent design, analytics, automation, Python, SQL, or similar technologies.
- Ability to assess technical information, challenge AI-generated outputs, and document evidence-based audit conclusions.
- Strong project management, communication, training, analytical thinking, and professional skepticism skills.
- Bachelor's degree in a relevant technical, business, audit, or risk discipline preferred; relevant audit, risk, technology, security, or AI certifications are a plus.