Senior AI Security Engineer
Tasks
- Conduct threat modeling for AI systems
- Design AI security controls
- Detect anomalous model behavior and abuse
- Document AI security policies and mitigations
- Ensure AI governance compliance
- Establish logging and monitoring for AI systems
- Implement PII masking tokenization and encryption
- Implement guardrails and access controls
- Perform security reviews for prompts and model integrations
- Run red teaming and adversarial testing
- Secure training data pipelines and inference endpoints
- Support incident investigations for AI misuse
- Support model risk assessments
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI RMF | API Security | AWS | AWS Bedrock | Access Controls | Adversarial Machine Learning | Anthropic | Azure | Azure AI | Cloud Security | Cloud platform | Encryption | Google Cloud | Google Cloud Platform | Guardrails | IAM | ISO/IEC | ISO/IEC 42001 | Isolation mechanisms | LLM security | MLOps | Machine Learning | Microservices | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | OpenAI | PII masking | Prompt injection | Secure SDLC | Threat modeling | Tokenization | Top 10 | Zero Trust
Education
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