
Principal AI Security Strategist
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Illinois, +1 more state.
• Define, enhance, and oversee the enterprise AI Security strategy, architecture, and risk management initiatives.
• Facilitate the secure adoption and utilization of artificial intelligence technologies throughout the organization.
• Create security standards, reference architectures, control frameworks, and governance practices for generative AI, machine learning, autonomous agents, model development, and third-party AI services.
• Act as the senior subject matter expert in AI security for the organization.
• Collaborate with enterprise architecture, security engineering, data, legal, compliance, privacy, and business leaders.
• Ensure that AI solutions are developed, acquired, and operated in a secure, compliant, and responsible manner.
• Provide strategic counsel and architectural direction for enterprise technology decisions.
• Set security requirements for AI platforms, models, and business use cases.
• Formulate AI governance standards, security review processes, security architecture requirements, and risk management frameworks.
• Evaluate and address risks related to AI adoption and emerging technologies.
• Convey complex AI security, technology risk, and governance concepts to executive, business, legal, and technical audiences.
• Bachelor's Degree.
• 12 years of experience in information security, cybersecurity architecture, technology risk, or related fields.
• Proficiency in AI security, cloud security, application security, data security, and management of emerging technology risks.
• Experience in formulating AI security strategies, governance frameworks, standards, risk assessments, and control requirements.
• Comprehensive understanding of artificial intelligence, machine learning, generative AI, large language models (LLMs), autonomous agents, and AI platform security.
• Background in designing security architectures, governance frameworks, and risk controls for AI platforms, machine learning environments, cloud services, data platforms, and enterprise applications.
• Familiarity with AI-specific security threats and controls, including prompt injection, model poisoning, model theft, excessive agency, insecure output handling, data leakage, and third-party AI risk management.
• Knowledge of enterprise risk management principles and processes.
• Understanding of cloud services, data platforms, APIs, application development, and modern technology ecosystems that support AI-enabled business capabilities.
• Experience in requirements analysis and development of use cases, security architectures, reference models, architectural principles, standards, and design patterns.
• Awareness of laws, regulations, industry standards, and emerging regulatory requirements related to artificial intelligence, data protection, privacy, and healthcare.
• Strong written and verbal communication skills for presenting complex concepts to executive, business, legal, and technical audiences.
• Sponsorship is not available, including for individuals currently on OPT.
• Preferred: Master's Degree in Cybersecurity, Computer Science, Artificial Intelligence, Data Science, or a related field.
• Preferred: Industry certifications such as CISSP, CISM, CCSP, SABSA, or equivalent security architecture certifications.
• Preferred: Experience in establishing or leading an enterprise AI Security program, AI governance function, or responsible AI initiative.
• Preferred: Familiarity with the NIST AI Risk Management Framework (AI RMF), OWASP Top 10 for LLM Applications, AI governance frameworks, and secure AI development practices.
• Preferred: Experience in evaluating and securing commercial AI platforms, AI-enabled applications, and third-party AI service providers.
• Preferred: Experience in highly regulated industries such as healthcare, financial services, or critical infrastructure.
• Preferred: Recognized thought leadership in AI security.
• Curated development plans supporting professional growth.
• Annual incentive bonus plan.
• Health and wellness benefits.
• 401(k) savings plan.
• Pension plan.
• Paid time off.
• Paid parental leave.
• Disability insurance.
• Supplemental life insurance.
• Employee assistance program.
• Paid holidays.
• Tuition reimbursement.
• Other incentives.
• Employee referral process.
• Reasonable accommodations for applicants with disabilities or disabled veterans.
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