AI Security Engineer - Threat Modeling & Secure Deployments

Jobtailor; Brooklyn Park (MN); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor is seeking an experienced security leader to safeguard AI systems across their lifecycle. You will drive threat modeling, adversarial testing, and verification of secure deployment patterns in cloud and hybrid environments.

You will collaborate with platform, product, and engineering teams to assess architectures, validate controls, and reduce risk while enabling innovation. Strong knowledge of OWASP Top 10 for LLMs and hands-on security testing are essential.

Qualifications

• Experience applying threat modeling across AI systems.
• Hands-on testing using adversarial methods and validation frameworks.
• Deep knowledge of OWASP Top 10 for Large Language Model Applications.
• Strong background in AI/ML security and secure development practices.
• Familiarity with cloud security across GCP, AWS, and Azure.

Responsibilities

• Collaborate with AI platform, product, and engineering teams to evaluate security posture of AI systems throughout their lifecycle.
• Define and evaluate security assessment methodologies, testing frameworks, and assurance standards for AI technologies.
• Develop and execute security validation strategies, including threat modeling and adversarial testing.
• Conduct deep technical reviews of AI products, platforms, and architectures.
• Partner with engineering to validate secure deployment patterns for AI workloads across cloud and hybrid environments.
• Assess AI architectures, models, agents, and infrastructure for security risks and weaknesses.

Skills

Threat Modeling

Adversarial Testing

AI Security

Cloud Security

Information Protection

Network Security

Cryptography

Secure Software Dev

Security Analysis

Education

4-year degree or equivalent experience

Tools

GCP native security tooling

Vertex AI tooling

AWS security tools

Azure security tools

Job description

Jobtailor is seeking an experienced security leader to safeguard AI systems across their lifecycle. You will drive threat modeling, adversarial testing, and verification of secure deployment patterns in cloud and hybrid environments.

You will collaborate with platform, product, and engineering teams to assess architectures, validate controls, and reduce risk while enabling innovation. Strong knowledge of OWASP Top 10 for LLMs and hands-on security testing are essential.