Technology Internal Audit Lead

What you'll do

• Plan and execute technology audits and complex control assessments, including for LLM-powered products and AI/ML systems.
• Use data analytics to identify risks and review AI/ML controls such as data quality, privacy, safety testing, and output monitoring.
• Develop risk-based recommendations, advise product and engineering 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; experience in the technology sector and/or consulting is preferred.
• Strong understanding of security fundamentals across cyber domains, including IAM, data security, application security, and network security.
• Ability to assess complex technology environments against risk outcomes, best practices, internal standards, and regulatory requirements.
• Strong problem-solving, critical thinking, collaboration, and communication skills, including the ability to provide technical challenge.

Nice to have

• Understanding of LLMs, ML pipelines, model lifecycle management, and data engineering architectures; experience with tools or platforms such as PyTorch, TensorFlow, HuggingFace, GitHub, Bitbucket, AWS, Azure, or GCP.
• Experience in a global or rapidly scaling technology environment; relevant professional certifications such as CISSP, CISM, GIAC, CCNA, CISA, CRISC, or CIA.

Tools

LLMs, ML, PyTorch, TensorFlow, HuggingFace, GitHub, Bitbucket, AWS

AI focus

Audits and risk reviews of AI/ML systems, including architecture, data flows, model training and serving, safety testing, evaluation metrics, red-teaming, hallucination mitigation, and output monitoring.