Tasks:
- * Assess AI/ML/LLM solutions for security risks
- * Conduct security testing and architecture reviews
- * Contribute to AI governance and compliance
- * Define secure cloud configuration requirements
- * Develop AI security architecture and roadmap
- * Implement security controls across AI/ML lifecycles
- * Integrate security controls into development and deployment
- * Monitor model behavior, misuse, and data exposure
- * Perform threat modeling and technical risk assessments
- * Support incident investigation and response
Perks/Benefits:
- + 401k plan
- + Accident insurance
- + Dental insurance
- + Disability insurance
- + Employee stock purchase plan
- + Life insurance
- + Medical insurance
- + Paid time off
- + Parental leave
- + Tuition reimbursement
- + Vision insurance
Skills/Tech stack required:
[Adversarial Testing] [AI Governance] [AI/ML] [AI/ML lifecycle] [AI/ML lifecycle security] [AI/ML Security] [API Security] [Architecture Reviews] [Automation] [Behavior monitoring] [Cloud configuration] [Cloud configuration management] [Cloud Security] [Configuration Management] [Container Security] [Data leakage] [Data Leakage Prevention] [DevSecOps] [Incident Response] [Language Models] [Large Language Models] [Leakage prevention] [Lifecycle Security] [ML Security] [Model behavior] [Model behavior monitoring] [Model manipulation] [Model manipulation assessment] [Prompt injection] [Prompt injection assessment] [Risk Assessment] [Scripting] [Security Architecture] [Security Architecture Reviews] [Security controls] [Security Testing] [Technical Risk] [Technical Risk Assessment] [Threat modeling]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Security Engineer] [Cloud Security Engineer] [Cybersecurity Engineer] [Engineer] [Security Engineer]