AI Security Engineer - Remote at PayNearMe

We are seeking an experienced AI Data Security Engineer to lead efforts in securing the organization’s data and infrastructure against risks arising from both internal and external use of artificial intelligence. This role will focus primarily on protecting company and customer data from misuse, leakage or exposure through internal AI tools, while also addressing emerging threats from external AI-driven attacks and adversarial models. This position is ideal for a hands-on security professional who understands the intersection of AI/ML systems, data governance, and enterprise security as a function of risk. The role will be responsible for developing and maintaining pragmatic controls and guardrails that enable innovation while ensuring compliance and data protection. Responsibilities Internal AI Security (≈70%) • Develop and implement AI governance and security controls to prevent sensitive data exposure through internal AI tooling (e.g., ChatGPT Enterprise, Copilot, GitHub Copilot, and other LLM-integrated systems). • Establish policies, guardrails, and data classification enforcement for prompt inputs and outputs across all AI-enabled workflows. • Monitor and assess AI tool usage across departments to identify policy violations, data leakage risks or unapproved AI integrations. • Collaborate with Engineering, IT, and Legal to ensure compliance with SOC2, NIST CSF, PCI-DSS, and data privacy regulations (e.g., GDPR, CCPA) in the context of AI data processing. • Develop and maintain a secure AI development environment for internal data science and ML projects. • Support red-teaming and testing of internal AI models to identify vulnerabilities, prompt injection, data exfiltration or model inversion risks. External AI Threat Protection (≈30%) • Identify and mitigate AI-driven external threats, including model-based phishing, deepfake, data poisoning and automated attack tooling. • Work with the security operations and incident response teams to detect and respond to AI-generated or AI-assisted attacks. • Contribute to the organization’s threat intelligence program with a focus on emerging AI risks. • Evaluate and test AI-specific security solutions, including model monitoring, output filtering and anomaly detection tools.