Senior AI Engineer – AI Assurance & Controls

Apply AI to Control Testing

• Identify and develop high-value AI use cases across the control testing lifecycle.
• Design, prototype, evaluate and help operationalize AI-enabled testing solutions.
• Develop reusable AI workflows and automation for analyzing controls, risks, data and audit evidence.
• Establish how AI solutions should be evaluated and monitored to ensure sufficiently reliable results.
• Work with auditors to translate AI capabilities into practical testing applications.

Build AI Assurance Capability

• Bring technical AI expertise into assessments of AI-enabled processes, systems and controls.
• Help develop practical, risk-based approaches for testing AI-specific risks and controls.
• Assess relevant AI architectures, system behavior, evaluation methods and limitations.
• Translate emerging AI technologies and risks into practical implications for controls and assurance.
• Build AI capability within CTT through methodology development, knowledge sharing and coaching.

Must Have

• Professional working proficiency in English.
• Several years of professional experience in applied AI, AI/ML engineering, AI architecture, data science, software engineering or a comparable technical field.
• Strong hands-on experience with modern AI technologies, particularly Generative AI and Large Language Models, including approaches such as RAG and AI agents.
• Hands-on technical experience with programming or scripting, APIs and data integration.
• Experience developing, evaluating or operating AI solutions and critically assessing their performance, limitations and failure modes.
• Strong analytical and communication skills, with the ability to translate complex technical topics for non-technical stakeholders and work effectively in multidisciplinary teams.

• Experience in audit, Technology Risk, Internal Controls, model risk or another assurance environment.
• Experience with AI governance, Responsible AI, AI risk management or AI-related regulatory frameworks.
• Experience with AI evaluation, cloud AI platforms, data governance, information security or data privacy.
• Experience working with AI solutions in a large or regulated enterprise environment.