AI Security Engineer

Your Future. Secured. ISC2 is a force for good. As the world’s leading nonprofit member organization for cybersecurity professionals, our core values — Integrity, Advocacy, Commitment, Inclusion, and Excellence — drive everything we do in support of our vision of a safe and secure cyber world.

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.

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.
• Monitor the evolving AI threat landscape; maintain awareness of 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 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.

Behavioral Competencies:

• Intellectual Curiosity: Thrives in an ambiguous, rapidly evolving domain; proactively explores emerging AI capabilities and their security implications.
• Integrity & Responsibility: Approaches AI security with a strong ethical foundation, particularly around bias, fairness, privacy, and dual-use risks of AI systems.
• Cross-Functional Influence: Able to translate complex AI risk concepts for diverse audiences including engineers, executives, auditors, and non-technical business stakeholders.
• Adaptability: Comfortable operating without established playbooks; exercises sound judgment when standards, regulations, and tooling are still maturing.
• Mission Alignment: Demonstrates genuine commitment to ISC2’s mission of supporting a safe and secure cyber world; brings professionalism and advocacy to the AI security discipline.

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 or regional equivalent, 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.
• 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.

Physical and Mental Demands:

• Ability to travel up to 10% of time, may also include overnight and international travel.
• Work normal business hours and extended hours when necessary.
• Remain in a stationary position, often standing or sitting, for prolonged periods.
• The role requires sustained concentration when analyzing AI model behaviors, reviewing pipeline architectures, and producing detailed technical documentation.
• Regular use of office equipment such as a computer/laptop and monitor computer screens.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components.

Total Rewards:

The pay range for this position is £50,550 - £67,811/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.

Equal Employment Opportunity Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic as protected by applicable law.