Senior Staff Security Engineer, AI
Ripple provides payments, custody and stablecoin solutions that help financial institutions integrate blockchain and digital assets.
Funding history
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About Ripple
Ripple helps financial institutions transform global payments by providing blockchain-powered infrastructure for cross-border payments, digital asset custody, and stablecoin solutions. With it, users can enable instant settlements, reduce costs, and access new markets. The company was originally founded as OpenCoin in 2012 and rebranded to Ripple in 2015.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
This high-impact individual contributor role leads Ripple’s AI security strategy across the agentic software development lifecycle. The role defines guardrails for LLM and agentic AI adoption, builds AI-powered security tooling, reviews AI integrations, and contributes to industry standards, regulatory discussions, and published security practices.
Requirements
- 10+ years of Security Engineering experience with depth in at least two security domains and hands-on AI or ML security exposure.
- Strong understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, tool poisoning, excessive agency, and MCP server vulnerabilities.
- Experience securing agentic AI systems through sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring.
- Fluency in cloud security across AWS, GCP, or Azure, CI/CD security, container and Kubernetes security, IAM, and API security.
- Strong threat modeling skills using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or comparable approaches.
- FinTech, crypto, or regulated-environment experience is a strong plus.
- Ability to influence technical direction across Engineering, Product, and Security without direct authority.
- Builder’s mentality and comfort working in ambiguous problem spaces.
Responsibilities
- Drive the AI Security technical strategy and roadmap.
- Design and implement controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment.
- Own AI security across the Controlled Agentic SDLC, including guardrails, provenance standards, dual-review requirements, and audit trails.
- Lead security reviews and risk assessments for AI integrations entering production.
- Build and scale Shadow AI detection capabilities and promote the AI acceptable use policy.
- Serve as the technical resource on agentic AI risks including MCP server security, tool poisoning, prompt injection, and excessive agency.
- Shape Ripple’s external AI security posture through industry frameworks, regulatory engagement, and research publication.
Benefits
- Professional development budget
- Flexible in-office collaboration determined by teams
- Bi-weekly all-company meetings
- Team offsites, bonding activities, and happy hours
- Competitive bonuses and equity
- Healthcare, retirement, family-forming, and family-support benefits
- Employee giving match
- Mobile phone stipend
- R&R days
- Wellness reimbursement and onsite and virtual programming
- Generous vacation policy
- Parental leave and family planning benefits
- Catered lunches and stocked kitchens