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The Senior AI Security Advisor will play a crucial role in advising executive leadership on the secure adoption of AI technologies. With over 15 years of cybersecurity experience and a strong background in AI governance, the advisor will ensure that AI initiatives align with regulatory and ethical standards. Responsibilities include evaluating AI use cases, establishing governance frameworks, and overseeing secure deployment practices. Candidates should possess excellent communication skills and the ability to collaborate with various stakeholders.
Job Responsibility:
Provides strategic advisory to executive leadership on the secure adoption and governance of Artificial Intelligence, including Generative AI
Ensures AI initiatives are implemented responsibly, securely, and in alignment with regulatory, ethical, and operational standards while enabling innovation
Guides leadership in evaluating AI use cases, identifying risk exposure, implementing governance frameworks, and establishing secure deployment practices across the enterprise
Advises executive leadership on AI risk, governance, and security strategy
Establishes AI governance policies aligned with frameworks such as NIST AI RMF, ISO 42001, OWASP LLM Top 10, and OECD principles
Oversees secure deployment of AI systems including model selection, sandbox testing, and production rollout controls
Evaluates AI initiatives through structured risk and compliance assessment methodologies
Develops governance questionnaires, audit controls, and approval workflows
Ensures safe usage of generative models, including prompt security, data protection, and monitoring
Assesses and guides adoption of governance/security tools (e.g., OneTrust, JFrog, Lakera, Prompt Security platforms)
Requirements:
15+ Years of Cybersecurity experience
3+ Years in AI Governance, Security for AI
Senior leadership experience in cybersecurity, risk, or AI governance
Understanding of generative AI architectures and deployment risks
Familiarity with AI governance frameworks and audit practices
Experience evaluating AI use cases and identifying operational/security risks
Ability to communicate technical risk insights to executive stakeholders
Collaborate with leadership, legal, compliance, and technology teams on AI strategy and risk posture