Senior AI Security Engineer (GenAI & LLM Protection)
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The role
Lead and implement AI security for GenAI and LLM deployments within a regulated financial environment.
Serve as the SME bridging Data Science and Cyber Security to ensure governance, resilience, and secure model APIs.
Drive AI security platform deployment and guardrails across cloud providers (Azure, AWS, Google Cloud) with threat modeling and pentesting of AI pipelines.
Develop Python-based automation tooling to test vulnerabilities and streamline security workflows.
Research AI risks (including OWASP for LLMs), perform PoCs, and contribute to the design of cloud-native GenAI security services aligned with data privacy and DLP standards.
Requires 5+ years in Security Engineering or related fields, with strong cloud, AI/ML, and security fundamentals.
Serve as the SME bridging Data Science and Cyber Security to ensure governance, resilience, and secure model APIs.
Drive AI security platform deployment and guardrails across cloud providers (Azure, AWS, Google Cloud) with threat modeling and pentesting of AI pipelines.
Develop Python-based automation tooling to test vulnerabilities and streamline security workflows.
Research AI risks (including OWASP for LLMs), perform PoCs, and contribute to the design of cloud-native GenAI security services aligned with data privacy and DLP standards.
Requires 5+ years in Security Engineering or related fields, with strong cloud, AI/ML, and security fundamentals.
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