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Collaborate with AI/ML and security architecture teams to define and deliver secure AI solutions.
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Design and implement protection against prompt injection, model jailbreaking, and adversarial attacks.
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Develop data protection mechanisms to prevent information leakage in AI systems.
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Build and maintain REST/gRPC APIs using frameworks like FastAPI or Spring REST.
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Implement data loss prevention (DLP) for sensitive AI-generated content.
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Monitor AI security posture and integrate security controls into ML workflows.
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Develop observability and logging capabilities for AI applications.
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Document AI security architecture, workflows, controls, and remediation steps.
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