Lead and manage the security of artificial intelligence systems across the entire development lifecycle. Responsible for designing robust AI security architectures, leading adversarial research, implementing defenses against attacks on machine learning and Transformer models, and elevating team capabilities in secure AI development. This is a hands-on, technical leadership role combining deep expertise in AI security, practical implementation, and strategic oversight.
Key Responsibilities
AI Security Strategy & Architecture
Design security architectures for AI systems, including threat modeling, vulnerability assessment, and risk mitigation frameworks.
Lead security reviews and audits of AI models and systems throughout the development lifecycle.
Collaborate with product, engineering, and data science teams to integrate security into AI development processes.
Develop and maintain adversarial attack methodologies and tools for proactive security testing.
Adversarial Research & Red Teaming
Lead red teaming exercises to identify and exploit vulnerabilities in AI models and systems.
Conduct adversarial research to discover novel attack vectors against classical ML and Transformer models.
Continuously evaluate AI system weaknesses and recommend mitigations to prevent exploitation.
Robust AI Development & Defense
Research and implement techniques to enhance AI model robustness against adversarial attacks.
Evaluate and implement defenses against common attacks, including evasion, poisoning, extraction, and membership inference.
Design and implement guardrails to prevent harmful outputs and unsafe AI behaviors.
Implement input validation, context injection prevention, and monitoring systems for anomalous model behavior.
Develop defenses against prompt injection, context confusion, and semantic attacks.
Team Leadership & Knowledge Sharing
Guide technical direction for AI security initiatives and elevate team capabilities.
Mentor team members on best practices in AI security, adversarial research, and defensive modeling.
Collaborate cross-functionally to ensure AI systems are secure by design.
Qualifications
Education & Experience
PhD in Computer Science, Cybersecurity, AI, or related field with research in AI security, adversarial ML, or related areas (or Master’s degree with 10+ years of professional experience).
Minimum 10+ years of professional experience in cybersecurity, machine learning, or AI security.
At least 8+ years in a senior or lead role with demonstrated technical leadership.
Proven track record of identifying and remediating critical security vulnerabilities in AI systems.
Published research or significant contributions in AI security.
Technical Competencies
Expertise in adversarial machine learning and attack methodologies against classical ML models and Transformers.
Hands-on experience with adversarial attack frameworks (FGSM, PGD, C&W, etc.).
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
Strong understanding of cryptography, secure computation, and privacy-preserving techniques.
Knowledge of prompt injection, jailbreak, and context confusion attack vectors.
Experience with security testing tools, vulnerability assessment methodologies, and risk mitigation.
Soft Skills
Excellent leadership and team management capabilities.
Ability to make high-stakes decisions under pressure.
Strong communication and presentation skills for technical and non-technical audiences.
Analytical thinking, problem-solving, and attention to detail.
Customer- and risk-focused mindset, with the ability to balance security and usability.
Equal Opportunity Statement
We are committed to creating an inclusive workplace where everyone feels respected, valued, and supported.
We welcome applications from all qualified candidates regardless of age, gender, ethnicity, nationality, religion, disability, sexual orientation, or background. We believe diverse perspectives and experiences strengthen our team, foster innovation, and help us better serve our customers and communities.
If you require reasonable accommodation during the recruitment process, please let us know and we will do our best to support you.
