AI Security Engineer

🕒 June 23

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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ISC2

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1989

🔒 Cybersecurity

📚 Education

☁️ SaaS

Cybersecurity • Education • SaaS

ISC2 is a leading organization dedicated to advancing cybersecurity education and certification. They provide various programs for individuals at different stages of their cybersecurity careers, including certification exams, training resources, and leadership development opportunities. ISC2 also advocates for members and promotes diversity within the cybersecurity field by empowering professionals and communities.

📋 Description

• Identify, assess, and mitigate security risks introduced by AI and ML systems across ISC2’s technology estate • Perform security assessments of AI/ML systems including threat modeling and adversarial testing • Evaluate AI/ML implementations for vulnerabilities and conduct third-party AI vendor risk assessments • Partner with engineering and product teams to review AI feature designs and provide risk acceptance recommendations • Monitor the evolving AI threat landscape and contribute to the organizational risk register

🎯 Requirements

• Bachelor's degree in computer science, Data Science, Cybersecurity, or a related field • Will consider candidates with a high school diploma and at least seven (7) years of cybersecurity experience • 3+ years of experience in cybersecurity, with at least 1–2 years focused on AI/ML security, application security, or a closely adjacent field • Familiarity with AI/ML frameworks (PyTorch, TensorFlow) and cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) • Relevant certifications preferred: CISSP, CSSLP, GWEB, GMLSC, or emerging AI security certifications; ISC2 certifications are valued • Demonstrated research, publication, conference presentations, or open-source contributions in the AI security space are a strong differentiator.

🏖️ Benefits

• Internal training and awareness content on responsible AI use • Opportunities for professional development and certifications • Inclusive and equitable environment