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About the role
Credit Acceptance is proud to be an award-winning company with workplace recognition in multiple categories Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies in the United States. In this role, you will work as a dedicated member of a globally distributed team, partnering closely with business partners in the U.S. to design, build, and scale solutions that directly impact our customers and operations. While your legal employer will be our EoR partner, you will be fully integrated into our Credit Acceptance team for day-to-day work and collaboration. The AI Security Engineer is responsible for securing artificial intelligence (AI) and machine learning (ML) technologies across Credit Acceptance. This role partners closely with engineering, data science, product, and business teams to enable protected and compliant adoption of AI, while managing emerging risks related to data privacy, model integrity, misuse, and regulatory compliance. This position focuses on embedding security into AI systems by design, including agentic and autonomous AI systems, by providing handson technical guidance, developing standards and guardrails, and supporting teams as they integrate AI capabilities into products and business processes. Outcomes and Activities: * Partner with engineering and data science teams to design and review AI architectures, including agentic and multiagent systems, for security, privacy, and regulatory compliance. * Perform security reviews of AI/ML systems, including model lifecycle, data pipelines, inference APIs, agent orchestration layers, and thirdparty AI services. * Identify and mitigate risks such as: * Data leakage and model exploitation * Prompt injection and indirect prompt manipulation * Agent autonomy risks (overpermissioned agents, unsafe tool .
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