Collaborate closely with engineering and AI / ML teams to understand their deployment pipelines and security requirements for the specified AI Services.
Translate security requirements and best practices into automated security policies and controls.
Develop and maintain security automation solutions / scripts using Python, Go and PowerShell.
Design, implement, and oversee security solutions and policies for multi-cloud infrastructure (Microsoft Azure, AWS and GCP) focused on AI Services.
Working closely with vendors and partner squads to develop, deploy, and test security services for Cloud AI Services.
Stay up-to-date with the latest cloud security trends, vulnerabilities and industry best practices, AI Developments and emerging threats.
Troubleshooting problems, analysing root cause, and (where possible) fixing bugs introduced by owned or managed security solutions.
Bachelor’s degree in computer science, Information Security, or a related field.
10 years+ of experience in Infrastucture engineering roles.
Solid foundational knowledge of any Cloud AI Services , including Azure AI, Azure AI Search, Azure OpenAI, Azure AI Safety Content, AWS Bedrock, Anthropic on AWS Bedrock , and Google Vertex AI .