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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI security, including threat modeling, secure design review, and building security monitoring infrastructure. Proven ability to influence security architecture decisions across teams while effectively communicating complex AI security risks to diverse audiences.

Highest-signal resume keywords

AI Security Threat LandscapeThreat ModelingSecurity Monitoring InfrastructureMCP ArchitectureAI/ML Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

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

Soft Skills

Excellent CommunicationTrust BuildingCollaboration

Tools & Technologies

AI-Assisted Developer ToolingSecurity Monitoring ToolsAgentic WorkflowsAI Feature Development Frameworks

Industry Keywords

AI Security StandardsRisk ManagementAccess GovernanceAnomalous Behavior DetectionRegulatory Developments

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!