AI Security Engineer
Tasks
- Assess and mitigate risks from LLMs prompt injection model leakage and data exposure
- Collaborate with cloud data and application teams for secure AI deployment
- Contribute to secure architecture patterns for AI enabled applications
- Design build and support AI ML solutions and integrations
- Enable secure AI development practices including prompt engineering API security and data protection
- Evaluate and onboard AI vendors and tools with security privacy and compliance requirements
- Evaluate and secure AI platforms LLMs copilots and AI development tools
- Lead development of AI security controls guardrails and governance frameworks
- Perform threat modeling and risk assessments for AI ML systems
- Promote awareness and adoption of secure AI usage practices
- Support security reviews testing and validation of AI use cases
Perks/Benefits
- 401k match
- Healthcare Dental and vision insurance
- Paid time off
- Wellness benefits
- Work/lifestyle benefits
Skills/Tech-stack
API Security | AWS | Application Security | Artificial Intelligence | Azure | Cloud Security | Cloud platform | Code Scanning | DAST | Data Protection | DevSecOps | Google Cloud | Google Cloud Platform | LLM API | Language Models | Large Language Models | Machine Learning | OWASP Top | OWASP Top 10 | Prompt engineering | SAST | Security Architecture | Threat modeling | Top 10
Education
N/A
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