
AI Security Expert
2 weeks ago
Secure the Future with AI
About the Role
As a Senior Data Engineer, you will play a pivotal role in safeguarding our organization's cutting-edge AI systems while fostering innovation.
- Embed security, privacy, and compliance into the core of our AI systems.
- Ensure secure-by-design deployments across the organization.
- Collaborate with Security and Governance teams to align AI platform designs with enterprise security policies and compliance mandates.
Key Responsibilities:
- Translate policy into practice by converting governance requirements and regulatory obligations into concrete technical specifications and enforceable controls for cloud and on-premise environments.
- Mitigate advanced risks through specialized AI risk assessments to identify and address threats like model misuse, data leakage, adversarial attacks, and LLM prompt vulnerabilities.
- Champion privacy by integrating advanced privacy-preserving mechanisms such as data anonymization, encryption, and tokenization directly into AI workflows.
- Curate best-in-class tools by evaluating and recommending leading AI security and governance tools to enhance capabilities.
- Review and approve third-party AI services and open-source models from a security and compliance perspective, championing best practices across the organization.
Requirements
5+ years of experience in cybersecurity or data governance, with at least 3 years focused on AI or cloud-based ML systems.
- Proven expertise in implementing robust data protection on AI platforms.
- Exposure to data privacy controls (encryption, tokenization) and security frameworks like Zero Trust is an advantage.
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