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AI Security Engineer

Role overview

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

Responsibilities

  • Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies
  • Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines to process high volumes of security events
  • Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices
  • Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios

About the company

arrivia logo

arrivia

Computer Software / SaaS

Arrivia provides travel loyalty, booking and marketing solutions to consumer-facing companies that want to deliver exceptional value to their customers, uncover new revenue streams and drive growth through exciting travel rewards and member benefits. We’re on a mission to help people around the world travel better and experience more. Our team members bring world-class skills to the table to create extraordinary memories for our partners and members. With offices on both coasts of the US and around the world, we embrace diversity and a passion for travel across our global staff.

Company details

Company typeLarge
IndustryComputer Software / SaaS
Company size1001 - 5000

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Job description

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

  • 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.
  • 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.
  • 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).
  • Adversarial Research: Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios.
  • Automated Response: Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles.
  • 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

  • Skilled in Modern Tech: You have a solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Experienced with Distributed Systems: You are comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes.
  • 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.
  • API & Backend Specialist: You have proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints.
  • Analytical Problem-Solver: You can effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience.
  • 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 it Real, and Win Together. We offer a collaborative, inclusive environment where your work directly impacts how millions of people experience the world.

If you are ready to apply your AI and security expertise to a global mission from the comfort of your home office in Mexico, we’d love to hear from you.

Apply today and help us take charge of change.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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