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Senior Staff Security Engineer, AI Security

RippleLondon, UK
Type
Full-time
Work setup
On-site
Experience
Senior
Posted
Aug 22
SecurityAISecurity

What security roles in crypto pay

65 salaries · our own data
median $209k$137k$274k

Most security roles in crypto pay between $137k and $274k, with a median of $209k.

As a Senior Staff Security Engineer focused on AI Security at Ripple, you will be the company's deepest technical expert at the intersection of artificial intelligence and security. This individual contributor role spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable. You will lead technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling while shaping Ripple's external posture on AI security through industry standards and regulatory engagement.

What you'll do

  • 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.
  • Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security.

What you bring

  • 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.
  • A 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.
  • Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.
  • Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.
  • Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.
  • Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.
  • A builder's mentality: you are energized by problems without established playbooks, comfortable working in ambiguity, and motivated by raising the bar in an area that is still being defined.

Nice to have

  • Experience in FinTech, crypto, or other highly regulated environments, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.

What we offer

  • Competitive salary, bonuses, and equity
  • Comprehensive benefits covering physical and mental healthcare, retirement, family forming, and family support
  • Professional development budget to support learning
  • R&R days to rest and recharge
  • Generous wellness reimbursement and weekly onsite and virtual programming
  • Generous vacation policy, work with your manager to take time off when you need it
  • Industry-leading parental leave policies and family planning benefits
  • Mobile phone stipend
  • Employee giving match
  • In-office collaboration with flexibility: 10+ days a month, decided by managers and teams
  • Catered lunches, fully-stocked kitchens with premium snacks and beverages, and team events

About Ripple

Ripple is building a world where value moves like information does today through crypto solutions for financial institutions, businesses, governments, and developers. The company improves the global financial system and creates greater economic fairness and opportunity worldwide.

Context for this role

From the live jobs we track on CryptoJobsHQ, updated daily.

Ripple on CryptoJobsHQ

Ripple has 64 open roles on CryptoJobsHQ: 17 in Security, 11 in Engineering and 10 in Operations. All are on-site or hybrid, mostly in the US and the UK. 8 were posted in the last 7 days. The median advertised base salary is $225k, from 25 listings that publish pay.

All 64 Ripple roles →
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Senior Staff Security Engineer, AI Security | CryptoJobsHQ