AI Security Engineer

Reposted Yesterday
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Hiring Remotely in Guadalajara, Jalisco, MEX
Remote
Senior level
Travel
The Role
Design, build, and deploy AI-driven systems to detect and mitigate fraud, abuse, and intrusion. Develop real-time data pipelines, feature engineering, and low-latency microservices. Conduct adversarial research and threat modeling, integrate models into production, and collaborate with DevSecOps to embed protections in containerized environments.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • Master's degree (preferred)
  • 5+ years of software engineering experience focused on backend architecture and distributed systems
  • 3+ years experience in cybersecurity, fraud detection, trust & safety, or threat intelligence
  • 2+ years building and deploying machine learning models in production
  • High proficiency in English and strong collaboration/communication skills
  • Must be based in Mexico and available to work remotely
  • Proficiency with Python and SQL
  • Experience with ML frameworks: PyTorch, TensorFlow, or scikit-learn
  • Experience with distributed data systems, stream processing, and messaging frameworks (e.g., Kafka)
  • Experience designing and deploying low-latency APIs and microservices (FastAPI, Flask, or Django)
  • Experience with containerized deployments and cloud platforms (Docker, Kubernetes, AWS)
  • Experience with adversarial research, threat modeling, and secure model design
  • Experience building or working with MLOps pipelines and production integration
  • Familiarity with security best practices and standards (OWASP, ISO/IEC 42001) and secure system design

arrivia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about arrivia and has not been reviewed or approved by arrivia.

  • Strong & Reliable Incentives Commission-based earnings in sales are described as having strong upside when performance is high, with bonuses and full payouts cited as meaningful contributors to total pay.
  • Wellbeing & Lifestyle Benefits Travel discounts and awards are positioned as a standout perk, supplemented by lifestyle add-ons like wellness programs, lifestyle spending, and office perks that add non-cash value.
  • Parental & Family Support Family-building and parental benefits are described as more modern than baseline offerings, including paid parental leave and adoption/surrogacy and fertility support.

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The Company
HQ: Scottsdale, AZ
395 Employees
Year Founded: 1997

What We Do

Welcome to arrivia. We specialize in making brands better through the power of travel. With more than 55 years of combined experience, we’re a merger of three powerhouse brands (in case you’ve heard of us in the travel industry) combining ICE, SOR Technology and WMPH Vacations. With offices on both coasts of the US and around the world, we embrace diversity and a passion for travel across our global staff. We’re focused on building a customer-first culture, fueled by the best travel experiences for all our members at every point in their journey. Grow with us, as we continue our path to deliver innovative solutions and take charge of change. The adventure is only beginning. 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.

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