Anti-Fraud & Abuse Engineer

Anti-Fraud & Abuse Engineer

Requirements

• Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems
• Background in security, adversarial machine learning, threat intelligence, or fraud investigations
• Familiarity with adversarial tactics, techniques, and procedures (TTPs) targeting AI systems
• Excellent communication skills, able to present to both technical and non-technical audiences

Responsibilities

• Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse
• Perform adversary hunting to detect abuse and misuse of our products and services
• Analyze how our products and services are being misused or abused
• Track and mitigate cost impacts of fraud and abuse across our technology stack
• Research and anticipate emerging abuse techniques to stay ahead of evolving threats
• Generate actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor tactics targeting LLM systems
• Build and maintain relationships with external threat intelligence partners and industry communities
• Establish best practices, tools, and processes for our fraud and abuse detection program

Preferred Qualifications

No preferred qualifications provided.