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Tesolife

Security & Compliance Engineer - PCI / AI Governance

Security Engineering & Architecture +1Updated on Nov 13
Full-timeFlushing, Queens, NY, USA

About the Job

Requirements

  • A bachelor's degree or above is required; cybersecurity or computer science is preferred.
  • At least 4 years of experience in security engineering or operations is required.
  • Experience with PCI or governance, risk, and compliance (GRC) is preferred.
  • Hands-on experience securing or governing enterprise AI tools is a plus.
  • Knowledge of endpoint detection and response (EDR), security information and event management (SIEM), vulnerability tooling, PCI DSS controls, identity and access management (IAM) concepts, and Python scripting is required.
  • Working knowledge of AI/large language model (LLM) security risks, including data leakage, prompt injection, and excessive permissions, is required.
  • Familiarity with frameworks such as the NIST AI Risk Management Framework or OWASP Top 10 for LLM Applications is a plus.
  • The candidate must be comfortable using AI assistants to accelerate scripting, investigation, and documentation while validating AI output before acting on it.
  • Mandarin proficiency is described as a plus.

Responsibilities

  • Build and operate endpoint detection and response, email security, identity security, and logging tools, and implement multifactor authentication (MFA) and 802.1X.
  • Run vulnerability scans and remediation, and manage store and cloud baselines.
  • Use AI-enabled toolchain capabilities, including alert triage, anomaly detection, phishing and business email compromise (BEC) detection, and natural-language log queries, to reduce noise and speed response.
  • Implement controls for approved AI tools, including single sign-on (SSO) and MFA, role-based access, data-retention settings, and integration with data loss prevention (DLP) and SIEM through compliance and audit APIs.
  • Detect and manage unapproved shadow AI use, preventing sensitive cardholder, customer, and financial data from being shared with unapproved AI services.
  • Review new AI tools, connectors, and integrations before rollout, covering data handling, permission scope, vendor security documentation, prompt-injection risks, and excessive access to email and file stores.
  • Operationalize the company's AI acceptable-use policy and deliver employee awareness about AI-related threats, including AI-generated phishing and deepfake voice or video impersonation.
  • Run quarterly scans and the annual PCI assessment, prepare the self-assessment questionnaire (SAQ) or report on compliance (ROC), and drive remediation to closure.
  • Maintain the evidence repository and support the qualified security assessor (QSA) and external audits.
  • Keep AI tools and workflows out of PCI scope, or ensure they are properly controlled when they touch in-scope systems; use automation and AI assistance to streamline evidence collection and control mapping.
  • Periodically review access to business systems, cloud systems, and managed service providers (MSPs).
  • Manage third-party access onboarding, approval, and revocation, including remote access for warehouse vendors.
  • Include AI tool access, AI service accounts, API keys, and AI integration permissions in periodic access reviews.
  • Investigate, contain, and review security incidents, including incidents involving AI tools or AI-enabled attacks.
  • Provide security reviews for infrastructure and system changes, including new AI features and integrations.

Desired Qualifications

  • Experience with PCI or GRC.
  • Hands-on experience securing or governing enterprise AI tools.
  • Familiarity with the NIST AI Risk Management Framework or OWASP Top 10 for LLM Applications.
  • Mandarin proficiency.

About the Company

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