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azure aws mlops threat modeling llm📋 Description
- Lead AI Security Architecture and Secure Design to reduce AI risk and keep velocity.
- Conduct Threat Modeling and Risk Assessments for generative AI and agents.
- Define Monitoring, Detection and Incident Response capabilities for AI systems.
- Deliver milestones at 30, 150, and 210 days with secure AI architectures.
- Establish AI Governance, Privacy, and Third-Party Risk in SDLC.
- Drive cross-functional collaboration with Eng, Data Science, DevSecOps, Product, Legal, and SOC.
🎯 Requirements
- Bachelor's degree in CS, Cybersecurity, Eng, Data Science, or related field.
- 5+ years in security engineering, app security, cloud security, or DevSecOps.
- 2+ years building or securing AI/ML systems in production.
- Strong understanding of AI/ML threats and defenses (prompt injection, data leakage).
- Experience integrating security into CI/CD and MLOps pipelines.
- Proficiency with AWS and Azure, container security, IAM, and secrets management.
🎁 Benefits
- Equal employment opportunities for all; no discrimination.
- Disability accommodations available during the application process.
- Job Applicant Privacy Policy available to review.
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