Offensive Security Analyst - AI Specialist

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g., assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.

Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape.

Our crew are our greatest resource - by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core

Offensive Security Analyst - AI Specialist

• Design and conduct Red Team operations focused on AI/ML systems, including adversarial input testing, model inversion, poisoning, and evasion attacks.

• Emulate threat actors targeting AI infrastructure (e.g., model hosting platforms, training data lakes, inference APIs).

• Develop custom tooling and payloads for AI-specific attack scenarios, including adversarial examples and synthetic data manipulation.

• Collaborate with data scientists and ML engineers to assess model robustness, fairness, and explainability under adversarial conditions.

• Lead Purple Team exercises to validate detection and response capabilities for AI-related threats.

• Produce detailed reports and executive briefings outlining risks, attack paths, and remediation strategies.

• Contribute to threat modeling and detection engineering for AI systems.

• Stay current on emerging AI threats, adversarial ML research, and regulatory implications.

• Mentor junior team members and foster a culture of offensive innovation.

• Proven experience in Red Team operations, adversary emulation, or advanced penetration testing.

• Deep understanding of AI/ML concepts including supervised/unsupervised learning, NLP, computer vision, and reinforcement learning.

• Experience with adversarial ML techniques (e.g., FGSM, PGD, DeepFool , model extraction).

• Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch , Scikit-learn).

• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services.

• Knowledge of MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF.

• Experience with offensive tooling and scripting for automation and exploit development.

• Excellent communication skills for technical and executive audiences.