Staff Security Engineer - AI Enablement
Trustly· Tech – AMER Engineering
Hybrid (San Francisco, CA)$225k - $340kFull-timePosted 3mo ago
About the role
Staff AI Enablement Security Engineer focused on securing AI/LLM tooling and agentic systems as part of Trustly's AI transformation, defining security standards and enabling fast AI development without compromising security.
Responsibilities
- Own security assessment and risk management for Trustly's AI and LLM systems — including Claude, MCP server implementations, agentic workflows, and AI-assisted developer tooling.
- Define and implement security controls, access governance, and monitoring frameworks for AI systems — covering prompt injection, data leakage, model misuse, and agentic system abuse scenarios.
- Partner closely with the AI Enablement team to embed security from the start of AI feature development — conducting threat modeling, reviewing architectures, and advising on safe deployment patterns.
- Build and maintain tooling for AI-specific security monitoring — detecting anomalous model behavior, unauthorized data access, and policy violations in real time.
- Develop and maintain AI security standards, guidelines, and training resources for engineering teams across Trustly — making it easy for engineers to build with AI safely.
- Stay at the leading edge of AI security research — tracking emerging attack vectors, defensive techniques, and regulatory developments relevant to LLM and agentic system security.
Qualifications
- 8+ years of security engineering experience, with at least 2-3 years focused on AI/ML security, LLM security, or security for data-intensive systems.
- Deep, hands-on understanding of the AI security threat landscape — prompt injection, jailbreaking, data poisoning, model exfiltration, insecure agentic tool use, and MCP-specific attack surfaces.
- Strong security engineering fundamentals — experienced in threat modeling, secure design review, penetration testing, and building security monitoring infrastructure.
- Familiarity with MCP (Model Context Protocol) architecture, LLM orchestration frameworks, and agentic AI deployment patterns — reason about security at the level of individual tool calls and context windows.
- Track record of operating at Staff+ IC scope — driving security decisions that span multiple teams, influencing architecture through technical credibility rather than authority.
- Excellent communicator — able to explain novel AI security risks clearly to both technical and non-technical audiences, and to earn trust with engineering teams as a partner rather than a gatekeeper.
Skills
Required:Security risk assessment for AI/LLM systemsThreat modeling and secure design reviewSecurity monitoring tooling for AIMCP and agentic AI deployment familiarity
Benefits
- Flexible paid time off & generous PTO accrual plans
- Comprehensive medical, dental, vision, and other insurances
- FSA & HSA plans for medical and dependent care
- Home office set-up allowance
- Internet stipend
- Retirement plan match for 401k and RRSP
- Gender-neutral paid parental leave, and more!
Last updated Jul 10, 2026. Interested? Apply on the company site.
About Trustly
Accelerate Growth with our Pay by Bank Solutions
Trustly - Accelerate Growth with our Pay by Bank Solutions
Payment SolutionsOpen BankingPayments
More open roles at Trustly
- VP, Infrastructure & SDLC2mo agoHybrid (SF) · Tech – AMER Engineering
- Senior HRBP2mo agoHybrid (New York, NY) · People – Ops & Partnering
- SVP, Global Revenue Operations & Enablement2mo agoHybrid (New York, NY) · GTM – Enterprise
- Payroll Analyst2mo agoHybrid (Lisbon) · Finance – Finance, Strategy & Operations
- Payroll Consultant2mo agoHybrid (Stockholm) · Finance – Finance, Strategy & Operations