Security Architect – AI Technologies
Tasks
- Assess and mitigate data leakage model abuse prompt injection unauthorized access
- Conduct security reviews for AI products and workflows
- Define and implement AI security controls
- Develop AI security guidance standards and guardrails
- Embed security into AI design reviews threat modeling and SDLC
- Evaluate third party AI services for security and compliance risk
- Identify security risks in AI ML systems
- Monitor emerging AI threats and vulnerabilities
- Secure AI data sources training datasets and model artifacts
- Support compliance privacy and customer trust requirements for AI usage
- Support incident response for AI systems and AI attack vectors
- Translate AI security risks into actionable controls
Perks/Benefits
- Career pathing
- Continuous professional development
- Employee Stock Purchase Plan (ESPP)
- Employee groups
- Generous benefits
- Inclusive company culture
- Product training
- Work-life balance
Skills/Tech-stack
AI Security | AI/ML | Application Security | Authentication | Authorization | Cloud Native | Cloud Security | Cloud-based | Cloud-based services | Cloud-native Security | Cloud-native Security Tools | Compliance | Data Pipelines | Data Protection | Data poisoning | Governance | Information security | LLM security | Model extraction | OAuth 2.0 | OpenID Connect | Privacy | Prompt injection | Risk Assessment | Secure SDLC | Security Architecture | Security Engineering | Security Tools | Threat modeling | Token Management
Education
N/A
Roles
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