Qualtrics is looking to solve the unique security risks associated with the AI/ML lifecycle, including model integrity, data poisoning, adversarial attacks, and system robustness, by designing, building, and maintaining robust security architectures for their Artificial Intelligence (AI) and Machine Learning (ML) systems and their underlying platforms.
Requirements
- Minimum of 10 years in Information Security, with at least 4 years focused on securing AI/ML systems.
- Deep understanding of the ML/AI lifecycle and its associated security risks.
- Expertise in cloud security platforms (AWS, Azure, or GCP) and services related to AI/ML (e.g., SageMaker, Vertex AI).
- Strong knowledge of data security principles, including encryption, masking, and tokenization.
- Deep understanding of AI specific threats, including adversarial ML, data poisoning, prompt injection and model inversion and inference attacks and associated defensive measures
- Strong knowledge of application security architecture best practices and architecture patterns
- Knowledge of AI related security related frameworks and standards globally
Responsibilities
- Design and architect end-to-end security for the entire ML/AI pipeline, developing reference architectures for various deployment patterns, and ensuring compliance
- Perform threat modeling for AI/ML systems, identifying vulnerabilities in data poisoning, model evasion, extraction, and integrity; define and implement data privacy, DLP, and encryption standards for sensitive training and inference data; and collaborate with Data Scientists and ML Engineers to integrate security-by-design principles from initial concept.
- Implement and monitor technical controls for model integrity, governance, and AI security, including access control and bias detection.
- Ensure AI systems comply with industry standards, privacy regulations (e.g., GDPR, CCPA), and internal Responsible AI policies, working with Legal and Compliance to document and validate technical adherence to AI governance frameworks.
- Lead cross-functional security initiatives for cutting-edge AI/ML projects, expanding your influence and expertise across the organization.
- Mentor junior security engineers and contribute to the development of Qualtrics' overall AI security strategy and best practices.
- Drive the adoption of new security technologies and methodologies, continuously evolving our defenses against emerging AI threats.
Other
- Takes initiative, understanding the expected outcome and context to work entrepreneurially to achieve goals.
- Highly communicative and influences effectively, building trust at the team level and across stakeholders.
- Demonstrates strong analytical skills to proactively identify and mitigate complex AI/ML security risks.
- Possesses a continuous learning mindset, staying current with rapidly evolving AI/ML technologies and security threats.
- Collaborates effectively with diverse technical and non-technical teams, fostering a security-conscious culture.
