Role Summary
Seeking a highly skilled AI Threat Modeling Engineer to strengthen its cybersecurity posture across AI/ML platforms and enterprise applications. The role focuses on proactively identifying, modeling, and mitigating threats across AI systems, ensuring secure adoption of GenAI and ML technologies in a regulated insurance environment.
This position sits at the intersection of AI engineering, cybersecurity architecture, and risk governance, driving secure-by-design AI solutions across the enterprise.
Key Responsibilities
1. AI Threat Modeling & Risk Analysis
• Develop and execute threat models for AI/ML systems, including GenAI, LLMs, and predictive models
• Identify vulnerabilities such as prompt injection, adversarial ML attacks, model poisoning, data leakage
• Perform risk assessments aligned with enterprise cybersecurity and regulatory requirements
2. Secure AI Architecture & Design
• Collaborate with architecture teams to embed security controls into AI pipelines (training inference deployment)
• Define secure design patterns for AI platforms deployed on cloud (AWS/Azure/GCP)
• Ensure alignment with Zero Trust, DevSecOps, and secure SDLC practices
3. Vulnerability Management & Testing
• Integrate SAST, DAST, and AI-specific security testing frameworks within CI/CD pipelines
• Conduct security reviews of AI models, APIs, and data pipelines
• Drive remediation strategies for identified risks
Salary Range: $85,000 to $100,000 per year
