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cloud security threat modeling llm ai security agentic aiπ Description
- Drive the AI Security strategy and roadmap for Ripple's AI systems.
- Design security controls for LLM/agentic AI: sandboxing, scopes, runtime monitoring.
- Own AI security across the Controlled Agentic SDLC with guardrails and audits.
- Lead security reviews and risk assessments for AI integrations in production.
- Build and scale Shadow AI detection to surface unsanctioned usage.
- Serve as the go-to resource on agentic AI risks with Eng and Prod.
- Shape Ripple's external AI security posture with regulators and researchers.
π― Requirements
- 10+ years in Security Engineering with depth in two domains and AI/ML security.
- Deep AI/LLM security knowledge: prompts, jailbreaks, data poisoning, tool poisoning.
- Experience securing agentic AI: sandboxing, permission scoping, human-in-the-loop.
- Cloud security (AWS/GCP/Azure), CI/CD, Kubernetes, IAM, API security for AI.
- Threat modeling instincts using STRIDE, MITRE ATLAS, OWASP LLM Top 10.
- FinTech/crypto or regulated environments; NYDFS, MAS, DORA, SOC 2.
- Cross-team influence; drive direction across Eng, Product, Security.
- Builder mindset; comfortable with ambiguity; raise the bar in AI security.
π Benefits
- Competitive salary, bonuses, and equity
- Benefits for physical/mental health, retirement, family support
- Employee giving match
- Mobile phone stipend
- Wellness reimbursement and weekly onsite/virtual programs
- Generous vacation policy and time off when needed
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