Lead AI Security Architect
Tasks
- Champion AI security best practices
- Collaborate with vendors and partners
- Conduct AI risk assessments
- Define secure AI architectural principles
- Drive Explainable AI practices
- Drive responsible AI practices
- Ensure regulatory compliance
- Evaluate AI security and governance tools
- Implement secure access layers
- Implement secure data pipelines
- Implement secure model deployment
- Integrate privacy preserving mechanisms
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AIOps | AWS Guardrails | AWS SageMaker | Access Control | Adversarial Attacks | Anonymization | Artificial Intelligence | Azure ML | Azure Responsible AI | CI/CD | Data leakage | DevSecOps | Encryption | Google Vertex | Google Vertex AI | IBM Watson | IBM Watson Governance | LLM security | LLMOps | Machine Learning | Model risk | Model risk assessment | OWASP | OWASP for ML | Prompt injection | RBAC | Responsible AI | Risk Assessment | Role-Based Access | Role-Based Access Control | Secrets management | Secure CI/CD | Tokenization | Vertex AI | Zero Trust
Education
Roles
AI | AI Security Architect | Architect | Security | Security Architect
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