AI Security Engineer
Build the Future of Intelligent Defense at arrivia
At arrivia , we specialize in making brands better through the power of travel, combining decades of experience with a constant drive for technology innovation. While our physical offices span the globe, we are looking for a highly skilled, remote-first engineer to join our team. This specific role is a fully remote opportunity based within Mexico.
This role sits at the intersection of machine learning, cybersecurity, and full-stack engineering. You won't just be monitoring dashboards; you’ll be architecting intelligent defenses that keep our members and data safe from evolving digital threats by building high-scale, real-time security systems.
The Opportunity
As a core member of our IT Operations team, reporting to the Security Ops Lead, you will design, build, and deploy AI-driven systems that detect and neutralize fraud, abuse, and intrusion. You will have the opportunity to apply anomaly detection, graph analysis, and NLP to real-world security challenges, ensuring our "customer-first" culture is backed by reliable, high-performance safety measures.
What You’ll Do
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Design & Architect: Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies.
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System Reliability: Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines (e.g., utilizing SQL/NoSQL databases and messaging frameworks like Kafka) to process high volumes of security events.
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Deploy Microservices: Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices (using frameworks like FastAPI, Flask, or Django).
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Adversarial Research: Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios.
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Automated Response: Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles.
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Collaborative Impact: Partner with DevSecOps and Platform teams to build MLOps pipelines and embed AI-driven protections directly into containerized environments (Docker/Kubernetes).
Who You Are
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Skilled in Modern Tech: You have a solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
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Experienced with Distributed Systems: You are comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes.
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Security Focused: You bring a strong background in cybersecurity, fraud detection, trust & safety, or threat intelligence, alongside a deep understanding of secure system design and OWASP principles.
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API & Backend Specialist: You have proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints.
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Analytical Problem-Solver: You can effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience.
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Growth Mindset: You enjoy staying up-to-date with secure AI frameworks (such as ISO/IEC 42001 or OWASP) and exploring advanced methods like time-series anomaly detection and graph analysis.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred).
- 5+ years of software engineering experience, with a heavy focus on backend architecture, API design, and distributed systems.
- 3+ years of experience in cybersecurity, fraud detection, trust & safety, or abuse prevention.
- 2+ years of hands-on experience building and deploying machine learning models in a production environment.
- High proficiency in English with strong collaboration and communication skills.
- Must be based in Mexico and available to work remotely.
Why Join arrivia ?
At arrivia , we Stay Curious, Keep