AI Agent Abuse Prevention Engineer

🕒 July 8

🌵 Arizona, California, +3 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $200k - $300k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Zendesk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

💼 Consulting

📣 Marketing

📦 Logistics

💰 Grant on 2019-09

Consulting • Marketing • Logistics

Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.

📋 Description

• Own detection, mitigation, and governance of abuse stemming from AI agents across Zendesk’s products and customer integrations. • Lead threat modeling for AI agent features, integrations, and APIs. • Design and prototype mitigation controls in collaboration with engineering teams. • Build anomaly detection rules, telemetry, and behavioral analytics. • Act as a subject-matter expert for investigations involving AI agents. • Collaborate with various stakeholders for compliance and mitigation support.

🎯 Requirements

• 10+ years of professional experience in cybersecurity, software engineering, or ML security with demonstrable hands-on experience. • Deep understanding of application/API security, OAuth/token lifecycle, session management, and modern auth patterns. • Practical experience with LLMs/agents: understanding of prompt engineering risks, injection attacks, and mitigation approaches for model-based systems. • Strong track record leading cross-functional technical initiatives and influencing product decisions. • Excellent communication skills — can translate technical risk into product, legal, and business terms. • Experience at a SaaS company with a customer support platform.

🏖️ Benefits

• Competitive salary • Bonus eligibility • Flexible work arrangements • Professional development opportunities