AI Security Engineer
Veterinaryemergencygroupst · VEG Headquarters, White Plains, NY
About this role
**ABOUT VEG** In 2014, VEG was born with a mission to help people and their pets when they need it most—by challenging norms and fixing the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7/365, and created an ER experience focused on what pets and pet parents really need. We’ve done the same for our people (VEGgies), finding a way to say YES so they’re empowered to achieve great things, grow in unexpected ways, and find a place where they truly belong. We’re rethinking emergency care from every angle—from how we run our hospitals to how we support the people working inside them. That’s where our headquarters team comes in. Whether building technology to make our hospitals more efficient, recruiting and growing incredible VEGgies, or bringing our brand to life through marketing, our VQ (VEG Headquarters) team makes it all possible—ensuring our hospitals and people have everything they need to help pets and their families. VEG is a **2025 and 2026 certified Great Place to Work®**. --- **THE JOB** We’re looking for someone who thinks like an attacker and builds like an engineer—and who’s genuinely excited about securing AI. At VEG, we find a way to say YES to adopting AI fast, and this role is what makes that safe. As our **AI Security Engineer**, you’ll be the technical owner of AI security across the company: assessing the AI tools and agents we adopt, hardening the AI we build into our own systems, and defending against AI-enabled threats. You’ll turn our AI governance framework into real, working controls—so teams can innovate instead of wait. This is a rare chance to shape a discipline from the ground up, spanning offensive testing, detection, and secure design in one seat—at the frontier of both security and veterinary emergency medicine. --- **WHAT YOU’LL DO** - 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. --- **WHAT YOU NEED** - **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. --- **WHO YOU ARE** - Empathetic, instinctively taking a people-centric approach (supporting colleagues and understanding different perspectives). - Humble: acknowledging mistakes, sharing credit, and lifting up your team’s accomplishments. - Ownership-minded: responsible for outcomes and committed to long-term, impactful results. - Curious by nature: asking insightful questions and continuously learning and growing. --- **HOW WE INVEST IN YOU** - Competitive
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