Principal AI and Data Security Architect
Tasks
- Architect AI model lifecycle security controls
- Architect prompt layer and AI workflow data protection controls
- Author and maintain AI threat libraries
- Collaborate with security operations incident response and security engineering
- Define AI consumption security strategy
- Define AI security reference architectures and design patterns
- Embed secure by design and privacy by design in architecture reviews
- Establish enterprise data security strategy
- Integrate and select AI security platform tooling
- Lead AI security standards policies and governance frameworks
- Lead data governance security in analytical model lifecycle
- Provide security advisory guidance for engineering and data science
Perks/Benefits
Skills/Tech-stack
AI Act | AI RMF | Access Governance | Adversarial Attacks | Agentic AI | Application Risk | Application risk assessment | Architecture Review | Artifact signing | Automated security | Automated security testing | CCPA | Cloud Security | DLP | DSPM | Data Access Governance | Data Classification | Data Lineage | Data access | Data discovery | Data provenance | EU AI | EU AI Act | Encryption | Endpoint Security | GDPR | ISO 27001 | ISO 42001 | Inference Endpoint Security | Jailbreaking | Java | Key Management | Kubernetes | LLM | LLM Top 10 | MITRE ATLAS | MLSecOps | Microservices | Model Registry | Model Registry Governance | Model extraction | NIST AI | NIST AI RMF | NIST CSF | OWASP Agentic AI Top 10 | OWASP LLM | OWASP LLM Top 10 | PCI DSS | Prompt injection | Python | RAG | Registry governance | Risk Assessment | Runtime Monitoring | Security Testing | Sensitive Data Discovery | Sensitive data | Threat modeling | Top 10
Education
N/A
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