Application Security Architect — Hybrid, AI‑Driven SaaS

Riskified; Lisboa; Hybrid; EUR 60,000 - 70,000; Full time

Benefits offered by this job

Hybrid mode of work

Benefits package per month

Stock-based awards

Job summary

Riskified, a fast-growing ecommerce risk platform, is seeking an Application Security Engineer in Lisbon. You will evaluate security architecture and collaborate with developers, product managers, and the security team to protect our SaaS products.

Responsibilities include security design reviews, threat modeling, identifying design gaps, and implementing AI-based security solutions for AI systems and LLM-based applications.

Qualifications

• 5+ years of hands-on application security experience.
• Experience reviewing security designs and code, threat modeling.
• Knowledge of common security attacks and remediations.
• Hands-on with AI tools and AI-based security solutions.
• Experience with security design reviews and testing for AI/LLM systems.

Responsibilities

• Initiate and improve processes, tools, and documentation for application security requirements.
• Identify security design gaps in architectures, services and products.
• Evaluate architecture, design, and code to identify vulnerabilities and risks.
• Work with development teams to prioritize and resolve security issues and implement security best practices.
• Assist in identifying and responding to security issues in Riskified’s environment.

Skills

Application security

Threat modeling

Security design reviews

AI security tools

Security testing for AI/LLM

Collaboration with devs

SaaS experience

API/microservices knowledge

Problem solving

Security architecture evaluation

Job description

Riskified, a fast-growing ecommerce risk platform, is seeking an Application Security Engineer in Lisbon. You will evaluate security architecture and collaborate with developers, product managers, and the security team to protect our SaaS products.

Responsibilities include security design reviews, threat modeling, identifying design gaps, and implementing AI-based security solutions for AI systems and LLM-based applications.