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Role Overview:
- Lead the development of security frameworks and governance practices for AI systems.
- Collaborate with engineering, security, and technology teams to build resilient AI solutions.
- Contribute to responsible AI adoption by helping teams understand risks and controls.
Key Responsibilities:
- Design and implement security controls, governance frameworks, and protection strategies for AI and ML systems.
- Develop threat models and security architectures for LLMs, model APIs, and training data pipelines.
- Conduct security reviews of AI-powered applications and supporting infrastructure.
Requirements:
- Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field.
- 6+ years of security engineering experience with significant AI or ML exposure.
- Strong understanding of LLM architectures, application security, and cloud security principles.
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