Staff Security Engineer – AI Enablement

Trustly

Staff AI Enablement Security Engineer focused on securing AI systems at Trustly. Protecting data integrity, availability, and confidentiality in Trustly's AI-native transformation efforts.

Posted 7/6/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $225,000 - $340,000 per yearWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 — you can 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.

Benefits

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Security EngineeringPenetration TestingSecure Design ReviewData Leakage PreventionModel Misuse PreventionPrompt Injection MitigationJailbreaking DefenseData Poisoning DefenseModel Exfiltration PreventionAgentic Tool Security

Soft Skills

Excellent CommunicationTrust BuildingCollaboration