Sr. Staff AI Security Architect
Tasks
- Advance security-by-design standards for AI
- Advise executives on AI security risk posture
- Automate controls via CI/CD and policy as code
- Define AI risk controls across model lifecycle
- Define MLOps LLMOps security requirements
- Define enterprise AI security architecture
- Define identity access and authorization for AI agents
- Design secure AI platform enablement
- Establish secure RAG patterns and guardrails
- Implement AI governance standards and policies
- Integrate AI security into AI SDLC
- Lead AI threat modeling and abuse-case analysis
- Mentor engineers on AI security best practices
- Operationalize AI security testing red teaming
Perks/Benefits
- N/A
Skills/Tech-stack
API Security | Access Management | Adversarial Testing | Agent Frameworks | CI/CD | Cloud Security | Container Security | Cryptography | Data Governance | Data Loss Prevention | Data loss | DevSecOps | Embeddings | GDPR | HSM | Identity and Access Management | Identity and access | KMS | Key Management | Kubernetes | Kubernetes security | LLM security | LLMOps | Loss prevention | MLOps | MLOps security | Model Risk Management | Model risk | OWASP Top | OWASP Top 10 | Orchestration layers | Policy-as-Code | RAG | Red Teaming | Risk Management | SIEM | Secrets management | Secure Coding | Security telemetry | Service authentication | Service to Service | Service-to-Service Authentication | Threat modeling | Top 10 | Vector Databases | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Architect | Architect | Security | Security Architect
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