Senior AI Security Engineer
Remote · United States
Job Summary
Senior AI Security Engineer focusing on securing AI systems, models, and pipelines powering Vertex products. Collaborates with product engineering, platform, governance, and information security to identify, assess, and mitigate AI-specific risks related to LLM-enabled applications, retrieval-augmented generation, and agentic workflows. Builds and maintains applied AI security practices, tooling, threat models, red team exercises, and developer guidance to ship AI-powered features safely. Responsibilities include threat modeling and security reviews of AI features, identifying vulnerabilities, ensuring traceability with identity/security/logging frameworks, hands-on testing and automated red teaming, documenting failure modes, developing security automation, defining secure-by-default patterns, monitoring emerging AI threats, and guiding secure AI tooling and deployment. Must communicate security risks to technical and non-technical audiences and coordinate with cross-functional teams.
Required Qualifications
- 5+ years of experience in security engineering, application security, product security, AI/ML engineering, or security architecture
- Hands-on experience securing AI/ML or LLM-based systems
- Ability to lead security reviews for complex software or AI systems and drive mitigation plans
- Experience assessing AI-specific risks such as prompt injection, insecure output handling, sensitive data exposure, excessive agency, and dangerous retrieval/memory patterns
- Proficiency in Python (or similar) for building security automation, evaluation scripts, test harnesses, and evidence-collection workflows
- Working knowledge of modern AI tech stacks, model APIs, orchestration frameworks, vector databases, retrieval pipelines, and at least one major cloud platform (AWS, GCP, or Azure)
- Familiarity with AI security/governance frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001)
- Excellent written and verbal communication skills
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