Senior AI Security Engineer – Agentic AI & LLM Safeguards

P2P; New York (NY); On-site; USD 224,000 - 300,000; Full time

Benefits offered by this job

Equity

Healthcare & retirement

Parental leave

Wellness reimbursement

Lunch & snacks

Job summary

Ripple is seeking a Senior Staff Security Engineer focused on AI Security in New York. You will be the deepest technical expert at the intersection of artificial intelligence and security, guiding guardrails and AI-powered security tooling.

You will design controls for LLM-integrated systems, own the AI security across the SDLC, and collaborate with Engineering and Product to reduce risk. The role requires 10+ years in Security Engineering, cloud security, IAM, and familiarity with NYDFS/SOC 2.

Qualifications

• 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.
• Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.

Responsibilities

• Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.
• Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.
• Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.
• Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third‑party MCP servers, and vendor‑embedded AI.
• Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.
• Serve as Ripple's go‑to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi‑agent systems, translating emerging threats into concrete mitigations with Engineering and Product.

Skills

Security engineering

AI security

Cloud security

Threat modeling

Cross-team collaboration

Autonomous workflows

Tools

AWS/GCP/Azure

Kubernetes

CI/CD

Job description

Ripple is seeking a Senior Staff Security Engineer focused on AI Security in New York. You will be the deepest technical expert at the intersection of artificial intelligence and security, guiding guardrails and AI-powered security tooling.

You will design controls for LLM-integrated systems, own the AI security across the SDLC, and collaborate with Engineering and Product to reduce risk. The role requires 10+ years in Security Engineering, cloud security, IAM, and familiarity with NYDFS/SOC 2.