Internal Auditor (Technology Audit)

Quick Facts

• Focus area: technology audits with an emphasis on AI and agentic capabilities
• Audit scope: processes, information systems, and internal controls; coordination with risk/compliance teams and business stakeholders

Description

Contribute to modern internal audits focused on technology, including AI and agentic capabilities embedded in business processes. Evaluate risks and internal controls—such as access/authorization, guardrails, data handling, third-party AI/LLM dependencies, and responsible AI considerations. Support audit planning, testing, reporting, automation, and issue follow-up through the full audit lifecycle.

Responsibilities

• Support audits assessing risks and controls over AI and agentic capabilities in business processes
• Evaluate how company/customer data is used by AI tools and connected platforms (data minimization, masking, consent, logging, monitoring)
• Assist Senior Auditors and Audit Managers/Senior Managers with planning, fieldwork, and reporting
• Develop and execute audit testing procedures to evaluate design and operating effectiveness of internal controls
• Use AI and generative-AI tooling (e.g., agentic assistants and AI-enabled eGRC workflows) with human-at-the-helm review and adherence to the team’s AI governance framework
• Identify opportunities to automate repetitive audit tests and improve efficiency using data analytics and AI
• Prepare audit work papers documenting test steps, results, and recommendations
• Deliver assigned audit tasks and projects within deadlines with global audit methodology adherence
• Manage issue follow-up and closure for open Management Action plans from prior audits
• Build relationships with process owners to understand and document operations and the underlying control environment

Requirements

• Minimum 1–2 years of experience in Internal Audit, Compliance, or Risk Assurance
• Understanding of the audit life cycle and audit best practices (planning, fieldwork, reporting)
• Experience working with business owners and teams during audits
• Comfort adopting and experimenting with AI/GenAI tools in a controlled, responsible manner
• Strong knowledge of operational and IT internal control methodologies and terminology (e.g., COSO, COBIT)
• Foundational understanding of AI governance and Responsible AI (model risk, third-party AI/LLM supply chain, AI security)
• Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act)
• Familiarity with data protection and privacy concepts, including data residency and cross-border data controls
• High ethics, independence, and professionalism
• Strong analytical and data analysis skills
• Ability to work in a fast-paced environment, often on multiple projects simultaneously
• Ability to work with minimal day-to-day supervision
• Excellent communication and interpersonal skills; strong problem-solving and intellectual curiosity

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program