
AI Security Specialist
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in United States.
• Assess, implement, and manage AI security tools across both cloud and endpoint environments.
• Oversee AI usage, investigate results, and enhance security visibility.
• Assist in the investigation of AI security findings and incidents, which includes issues such as over-permissioned agents, exposure of sensitive data like PHI, and security concerns related to AI applications.
• Collaborate with Incident Response, engineering, and business teams to evaluate the impact and facilitate remediation efforts.
• Work alongside AI engineering, Application Security, DevSecOps, infrastructure, and business teams throughout the AI Software Development Life Cycle (SDLC).
• Analyze architectures, confirm findings, implement data security measures, and promote secure AI development practices.
• Create AI security guardrails, standards, technical documentation, and reusable frameworks.
• Evaluate AI applications against security frameworks such as NIST AI RMF and OWASP Top 10 for Large Language Models (LLMs).
• Ensure adherence to enterprise policies, governance standards, and relevant regulations.
• High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of relevant cumulative job-specific experience required.
• A minimum of 5 years of cybersecurity experience, with hands-on expertise in security investigations, incident response, application security, cloud security, or threat detection.
• Knowledge of large language models (LLMs), AI agents, retrieval-augmented generation (RAG), AI application architectures, and prevalent AI security risks.
• Familiarity with secure software development practices, AI development workflows, and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Experience securing AI solutions within Google Cloud Platform (GCP) and/or Microsoft Azure, including platforms like Vertex AI or Azure AI Foundry.
• Preferred familiarity with AI-assisted development tools, cloud-native security controls, identity and access management, and CI/CD pipelines.
• CISSP or AI security-focused certifications are preferred.
• Paid time off (PTO).
• A variety of health insurance options and wellness plans.
• Retirement benefits, including employer matching plans.
• Long-term and short-term disability coverage.
• Employee assistance programs (EAP).
• Parental leave and adoption assistance.
• Tuition reimbursement.
• Opportunities to give back to your community.
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