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AI and Emerging Technology Audit Specialist

Job in Abu Dhabi, UAE/Dubai
Listing for: ADNOC Abu Dhabi UAE
Full Time position
Listed on 2026-09-29
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection, AI Evaluation, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 350000 - 550000 AED Yearly AED 350000.00 550000.00 YEAR
Job Description & How to Apply Below

AI and Emerging Technology Audit Specialist Job Snapshot Role: AI and Emerging Technology Audit Specialist

Location:

Abu Dhabi, United Arab Emirates Industry: Oil and Energy Function:
Audit

Experience:

8-10 years Job Type: Full Time Position Overview ADNOC Group is hiring an AI and Emerging Technology Audit Specialist in Abu Dhabi, United Arab Emirates to deliver assurance across artificial intelligence and emerging technology initiatives supporting Oil and Energy operations. The role manages audit engagements from pre-planning through reporting and closeout, contributes specialist expertise to risk assessments and risk-based audit planning, and evaluates AI governance, lifecycle controls, business value realization, ROI and technology risks across ADNOC and Group Companies.

Job Details Country:
United Arab Emirates City:
Abu Dhabi Industry: Oil and Energy Function:
Audit Salary:
Not disclosed Gender: No Preference Candidate Nationality:
Not specified Job Type: Full Time Work Arrangement:
On-site

Job Purpose The AI and Emerging Technology Audit Specialist will perform assigned assurance engagements from initial planning through fieldwork, reporting and wrap-up, applying risk and control concepts to AI and emerging technology environments. Acting as a subject matter expert, the role contributes to periodic risk assessments and Risk-Based Work Plans covering AI governance, benefit realization, return on investment, embedded AI lifecycle controls and other emerging technology risks across ADNOC and Group Companies.

AI

and Emerging Technology Assurance
  • Perform assigned AI and Emerging Technology audit engagements from pre-planning through completion and wrap-up.
  • Apply appropriate risk and control concepts to scenarios encountered during assurance activities.
  • Identify potential governance, technology, control and business-value issues across ADNOC and Group Companies.
  • Evaluate AI-enabled initiatives and the extent to which intended benefits and business value are being realized.
  • Assess embedded controls throughout relevant AI life cycles.
  • Provide specialist input into periodic risk assessments and development of Risk-Based Work Plans.
Audit Universe and Risk Planning
  • Develop and maintain an audit universe that appropriately covers AI and emerging technology risks.
  • Review and update the AI and Emerging Technology Landscape and Audit Universe.
  • Consider AI governance, business value realization, third-party dependencies, processes, IT and OT infrastructure, interfaces, resilience and cybersecurity within assurance planning.
  • Identify current, emerging and potential AI and technology issues, trends and opportunities affecting AGCs and BLDs.
  • Ensure relevant technology risks are reflected appropriately within assurance planning.
Industrial AI Assurance
  • Develop and implement the Industrial AI Assurance Plan.
  • Align assurance planning with the organization 's AI strategy, use-case and initiative portfolio and new technology rollouts.
  • Support strategic initiatives affecting Group-wide audit plans, including AI Infrastructure Readiness and process enhancements.
  • Oversee execution of the assurance plan against established objectives.
  • Coordinate with AGCs to assess coverage of the AI universe and key AI risks.
  • Review AGC audit plans to ensure appropriate incorporation of Group AI Assurance objectives.
AI Governance and Control Assessment
  • Assess AI governance, risk management and control systems.
  • Evaluate model risk and controls relating to AI-enabled solutions.
  • Review training and inference data governance.
  • Assess bias, fairness and explainability considerations.
  • Evaluate AI-related cybersecurity, privacy and regulatory compliance controls.
  • Review risks arising from third-party AI dependencies.
  • Assess relevant IT General Computing…
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