Technology Internal Audit Lead

What you'll do

• Plan and execute technology audits and complex control assessments, including for AI/ML systems, information security, infrastructure, and privacy.
• Use data analytics to assess risks and review AI/ML controls, including data quality, access, safety testing, evaluation, and output monitoring.
• Develop risk-based recommendations, advise engineering and product teams, and ensure audit quality and consistency.

What they ask for

• 5+ years of relevant experience in technology audits, product security, security engineering, or security compliance; technology-sector or consulting experience preferred.
• Strong understanding of security fundamentals across cyber domains, such as IAM, cryptography, data security, application security, and network security.
• Ability to assess complex technology environments against risk outcomes, best practices, standards, and regulatory requirements.
• Strong problem-solving, critical-thinking, collaboration, and communication skills, including the ability to provide technical challenge.

Nice to have

• Knowledge of LLMs, ML pipelines, model lifecycle management, or data engineering architectures; experience with tools or platforms such as PyTorch, TensorFlow, HuggingFace, Github, Bitbucket, AWS, Azure, or GCP.
• Relevant professional certifications such as CISSP, CISM, GIAC, CCNA, CISA, CRISC, or CIA.

Tools

LLMs, PyTorch, TensorFlow, HuggingFace, Github, Bitbucket, AWS, Azure

AI focus

Audits AI/ML architectures and controls, including data flows, model training and fine-tuning, serving infrastructure, safety testing, hallucination mitigation, evaluation metrics, red-teaming, and output monitoring.