Experience auditing or working with Microsoft Azure, Linux/UNIX, LDAP, and IBM DB2 database environments, as well as knowledge of Azure cloud computing security and/or background in risk assessment/analysis/management surrounding the use of Machine Learning and Large Language Models (“artificial intelligence”). The ideal candidate is an experienced auditor and/or information security professional with an audit concentration to understand complex system architectures and operational processes, identify risks and the “what-could-go-wrong” (WCGWs), and evaluate controls to determine if they are appropriately designed and implemented to address these WCGWs.