Technology Risk & AI Auditor

Quality IT Resourcing; Canada; On-site; CAD 70,000 - 110,000; Full time

Job summary

Quality IT Resourcing is seeking a qualified professional to evaluate risks and controls across digital products, ML models, and AI systems, while performing rigorous data analysis in complex engineering environments. The role emphasizes AI-powered tooling to accelerate work and the application of automation to raise audit quality.

You will translate technical observations into actionable insights for technology, risk, and business strategy, learning new systems quickly in a fast-paced, evolving

Qualifications

• Hands-on experience conducting technical audits.
• Hands-on experience with data analytics.
• Understanding of risks and controls affecting digital products, AI/ML, data pipelines, or technical metrics.
• Interest in using AI and automation to improve analytical work.
• Ability to quickly learn unfamiliar systems in complex tech environments.
• Ability to connect technical analysis with risk and business considerations.
• Exposure to LLMs, AI assistants, or code copilots is a plus.
• Recent education in business, CS, technology, or related discipline, with co-op experience may be an asset.

Responsibilities

• Evaluate risks and controls for digital products, ML models, AI systems, data pipelines, and metrics.
• Perform technical audit and data analysis across complex engineering and data environments.
• Analyze large-scale data and systems to identify control considerations and produce insights.
• Use AI-powered tools, including LLMs and AI assistants, to accelerate analysis.
• Apply automation to improve audit and analytical efficiency and quality.
• Translate technical risk observations into tech, risk, and business insights.
• Navigate unfamiliar systems and complex environments while learning new technologies quickly.

Skills

Technical audits

Data analytics

AI/ML risks

AI automation

Learning new systems

Risk-to-business linkage

AI tools exposure

Co-op educated

Education

Degree in business/CS/tech

Job description

• Evaluate risks and controls associated with digital products, machine learning models, AI systems, data pipelines, and metrics.
• Perform technical audit and data analysis activities across complex engineering and data environments.
• Analyze large-scale data and technical systems to identify control considerations and produce high-quality insights.
• Use AI-powered tools, including large language models, AI assistants, and code copilots, to accelerate analysis.
• Apply automation to improve the efficiency and quality of audit and analytical work.
• Translate technical risk and control observations into insights relevant to technology, risk, and business strategy.
• Navigate unfamiliar systems and complex technical environments while learning new technologies quickly.

Qualifications

• Hands-on experience with technical audits.
• Hands-on experience with data analytics.
• Understanding of risks and controls affecting digital products, AI or machine learning systems, data pipelines, or technical metrics.
• Experience or demonstrated interest in using AI and automation to improve analytical work.
• Ability to learn unfamiliar systems quickly and work effectively in complex technical environments.
• Ability to connect technical analysis with risk and business considerations.
• Exposure to large language models, AI assistants, or code copilots is considered an asset.
• Recent education in business, computer science, technology, or a related discipline, combined with relevant co-op experience, may be considered an asset.