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# AI Security Engineer

- **Company:** Veterinary Emergency Group
- **Location:** White Plains, NY, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing Security, Information Leak Prevention, Identity and Access Management, OpenAI, Data Logging, Okta, Large Language Models, Generative AI, AI Platforms
- **Published:** October 1, 2026
- **Apply:** https://www.juju.com/job/15_ff77192d1

## About the Role

* 2+ years in security engineering-application, cloud, or a related area (or equivalent experience).
 * Hands-on experience securing or building AI/LLM-based systems, and familiarity with their failure modes.
 * Understanding of the LLM attack surface-prompt injection, data exfiltration, and agent or tool misuse.
 * Comfort with AI platforms and APIs (e.g., Anthropic, OpenAI), SaaS security tooling, and identity providers like Okta.
 * Strong threat-modeling skills and the ability to explain AI risk to engineers and non-technical stakeholders alike., * Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
 * Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team's' accomplishments
 * Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results
 * Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

## Description

* Assess AI tools, models, agents, and integrations before adoption-analyzing data flows, connector and plugin risk, and testing for prompt injection and data leakage.
 * Implement and operate security controls on approved AI platforms: access management, data loss prevention, logging, and usage monitoring.
 * Partner with Engineering to design AI features securely from the start.
 * Build and maintain AI security standards, threat models, and incident response playbooks.
 * Enforce our AI risk tiers and keep an inventory of AI usage across the company.
 * Advise teams on secure, practical ways to adopt AI.