Security Architect – AI Technologies
Tasks
- Assess third party AI services security
- Define AI security controls
- Develop AI security guidance standards and guardrails
- Embed security into AI design reviews
- Identify AI ML security risks
- Implement secure SDLC processes
- Mitigate data leakage and model abuse
- Monitor emerging AI threats and vulnerabilities
- Perform threat modeling
- Prevent prompt injection and unauthorized access
- Secure training datasets and model artifacts
- Support AI compliance privacy and customer trust requirements
- Support incident response for AI systems
Perks/Benefits
- Career pathing
- Continuous professional development
- Employee Stock Purchase Plan (ESPP)
- Employee groups
- Inclusive culture
- Product training
Skills/Tech-stack
AI/ML | AI/ML Security | Application Security | Authentication | Authorization | Cloud Security | Compliance | Data Leakage Prevention | Data Pipelines | Data leakage | Data poisoning | Incident Response | Information security | LLM security | Leakage prevention | ML Security | Model extraction | OAuth 2.0 | OpenID Connect | Privacy | Prompt injection | Risk Assessment | Secure SDLC | Threat modeling | Token Management
Education
N/A
Roles
Architect | Engineer | Security | Security Architect | Security Engineer
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