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Remote and metro listing increase applicant pool, but seniority and niche specialization moderate competition.
Requires specialized AI/ML security and governance experience, limiting cross-industry transferability.
Explicit 8-year minimum and 3+ years AI-security mandates strict screening.
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Lead design and implementation of AI security and governance frameworks aligned with standards like NIST AI RMF and EU AI Act.
Manage AI-specific risk identification, mitigation, and security verification across AI/ML lifecycle including threat modeling and monitoring.
Develop AI governance policies, incident response playbooks, and collaborate across teams to ensure ethical, compliant AI deployment and operations.
Bachelor’s degree in Computer Science, Data Science, Information Security, or related field.
Minimum 8 years of progressive security architecture experience, including 3+ years in AI/ML system security, governance, or compliance.
Experience with secure development, cloud security (AWS/Azure/GCP), and compliance frameworks like SOC 2, GDPR, NIST.
Hands-on familiarity with AI/ML pipelines, security tools (SAST, DAST, SCA), and AI governance tools.
Experienced in translating AI technical risks into business impact language for leadership and cross-functional teams.
Proven capability in leading AI risk management frameworks and implementing AI governance policies within multi-disciplinary environments.
Strong leadership and communication skills with ability to drive security and ethical AI practices across technical and non-technical stakeholders.