Job
Description
The company strongly believes in conducting business based on core values such as Inclusion, Innovation, Collaboration, and Wellness. These values guide the daily operations and ensure a cohesive global team approach with customers at the forefront. Prioritizing self-care, mutual support, and community engagement is central to our work ethos. As a Security Architect specializing in AI systems, data, and machine learning models, your responsibilities will include developing security architectures to safeguard data, ensure model integrity, and comply with regulations. You will conduct thorough research and threat modeling to identify vulnerabilities and risks associated with machine learning models and data. Establishing and upholding security standards, procedures, and guidelines pertaining to AI usage will be a key aspect of your role. Conducting security risk assessments for AI projects, pinpointing vulnerabilities in algorithms, data pipelines, and infrastructure, will be essential. You will evaluate data workflows for AI initiatives, focusing on aspects like data encryption, anonymization, and secure storage. Collaborating closely with AI/ML engineers, data scientists, and cybersecurity teams to embed security controls across the AI development lifecycle is crucial. Assessing third-party AI tools and vendors for security risks and compliance requirements is also part of your responsibilities. Implementing secure coding practices for AI models and conducting reviews to identify potential security risks like adversarial attacks or data poisoning will be vital. Staying abreast of the latest AI and cybersecurity trends to ensure ongoing protection against emerging threats is expected. Moreover, you will lead the development of novel algorithms and techniques to secure AI models, guaranteeing the integrity, confidentiality, and availability of AI systems. Your role will be instrumental in enhancing the security posture of AI initiatives within the organization. For further insights into our culture and community, please visit https://about.pypl.com/who-we-are/default.aspx. We are committed to fostering diversity and inclusion in our workforce. To explore opportunities that match your skills, we invite you to join our Talent Community. We acknowledge the challenges posed by the confidence gap and imposter syndrome and encourage all qualified candidates to apply without hesitation. REQ ID: R0122578,
