AI Security Engineer

ISC2 · United States · Yesterday

RemoteRemoteInformation Technology$85k–$114k/yrFull-time

Position Summary

The AI Security Engineer is responsible for identifying, assessing, and mitigating security risks introduced by artificial intelligence and machine learning systems across ISC2’s technology estate. This role sits at the intersection of offensive security, application security, and data science — evaluating AI/ML pipelines, large language model (LLM) integrations, and AI-powered products for adversarial threats, model vulnerabilities, and supply chain risks. The AI Security Engineer partners closely with the Security and Technical Operations team, engineering, and product stakeholders to embed security controls throughout the AI development lifecycle and contributes directly to ISC2’s ISO/IEC 27001:2022 ISMS program and broader cybersecurity governance objectives.

Responsibilities

Perform security assessments of AI/ML systems, including threat modeling, adversarial testing, and of LLM-based applications and AI-powered products and services integrated into ISC2’s products and operations.
Evaluate AI/ML implementations for vulnerabilities including prompt injection, jailbreaking, model inversion, data poisoning, membership inference, and adversarial example attacks.
Define and implement secure AI development lifecycle (AI-SDLC) standards, including secure model training, data governance, agent, and other access controls, and model deployment guardrails.
Conduct third-party AI vendor and model supply chain risk assessments; evaluate API-based AI services (e.g., OpenAI, Anthropic, Claude Code, Azure OpenAI) for data handling, privacy, and security posture.
Partner with engineering and product teams to review AI feature designs, conduct pre-deployment security reviews, and provide risk acceptance recommendations for AI-related SSDLC exceptions.
Maintain awareness of the evolving AI threat landscape; monitor emerging attack techniques, regulatory developments (EU AI Act, NIST AI RMF), and industry best practices (OWASP Top 10 for LLMs, MITRE ATLAS).
Support ISC2’s ISO/IEC 27001:2022 ISMS by mapping AI risk controls to applicable Annex A requirements (including A.8.25 through A.8.29) and contributing AI-specific risk treatment plans to the organizational risk register.
Develop and deliver internal training and awareness content on responsible AI use, AI-specific threats, and secure integration patterns for developers and business stakeholders.
Contribute to ISC2’s thought leadership in AI security by supporting content, certification, and research initiatives aligned with the organization’s mission.
Perform miscellaneous duties as assigned.

Qualifications

Familiarity with AI/ML frameworks (PyTorch, TensorFlow) and cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Working knowledge of AI governance frameworks: NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, and the EU AI Act risk categories.
Foundation in traditional application and infrastructure security, including web application testing, network security, and secure coding principles (Python, JavaScript).
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.

Education and Work Experience

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.
At least 3+ years of experience in cybersecurity, with at least 1–2 years focused on AI/ML security, application security, or a closely adjacent field.
Experience assessing data privacy risks in AI pipelines, including training data handling, PII exposure, and model output monitoring.
Experience with identity and access management in cloud environments, including Okta and SAML/OAuth, is preferred given ISC2’s technology stack.
Experience supporting ISO/IEC 27001, SOC 2, or similar compliance programs is a plus.
Hands-on experience with AI/ML security testing techniques, including adversarial ML attacks, LLM prompt injection, RAG pipeline abuse, and tool-use exploitation in agentic AI systems.

Total Rewards

The pay range for this position is $84,911 - $113,905/Yr. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.