AI Security Engineer
Tasks
- Assess and mitigate LLM risks including prompt injection model leakage and data exposure
- Collaborate with cloud data and application teams for secure AI deployment
- Design build and support AI ML solutions and integrations
- Develop secure architecture patterns for AI enabled applications
- Enable secure AI development practices with prompt engineering API security and data protection
- Evaluate and onboard AI vendors and tools
- Evaluate and secure AI platforms LLMs copilots and AI development tools
- Lead AI security controls guardrails and governance frameworks
- Monitor emerging AI and security risks trends and technologies
- Perform threat modeling and risk assessments for AI ML systems
- Promote secure AI usage best practices
- Support security reviews testing and validation of AI use cases
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Volunteer time
Skills/Tech-stack
AI | API Security | AWS | Access Management | Anthropic | Application Security | Azure | Cloud Security | Cloud platform | Code Scanning | Code review | DAST | Data Protection | Data leakage | DevSecOps | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | LLM APIs | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model misuse | OWASP Top | OWASP Top 10 | OpenAI | Prompt engineering | Prompt injection | SAST | Secure Code | Secure Code Review | Security Architecture | Threat modeling | Top 10
Education
N/A
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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