Full Stack AI Engineer - Security

Security AI Engineer to design, build, and deploy AI-driven systems that protect our platforms, users, and data. You'll sit at the intersection of machine learning, cybersecurity, and engineering — developing intelligent defenses against threats such as fraud, abuse, intrusion, and data leakage.

This role blends hands-on ML development with real-world security problem-solving and close collaboration with security, infrastructure, and product teams.

Department: IT Operations Reports to: Security Ops Lead Direct Reports: None

ESSENTIAL RESPONSIBILITIES

• Design and implement AI/ML models to detect, prevent, and respond to security threats (e.g., fraud, abuse, anomalies, malware, insider risk).
• Build and maintain pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
• Apply techniques such as anomaly detection, graph analysis, NLP, and behavioral modeling to security use cases.
• Integrate AI security solutions into production systems with high reliability and low latency.
• Partner with Security, DevOps, and Platform teams to embed AI-driven protections into existing tools and workflows.
• Monitor model performance, address drift, and continuously improve detection accuracy and resilience.
• Research emerging threats and adversarial techniques, including adversarial ML, and proactively adapt defenses.
• Contribute to incident response by providing AI-based insights and automation.

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; Master's degree preferred. Strong experience in machine learning or applied AI, with production deployment experience. Solid foundation in security concepts (e.g., threat modeling, authentication, authorization, network or application security). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Experience working with large-scale data systems (SQL/NoSQL, streaming pipelines, logs, telemetry). Familiarity with cloud platforms and MLOps practices (CI/CD, monitoring, model lifecycle management). Ability to reason about trade-offs between security, performance, and usability.

Preferred / nice-to-have: Background in cybersecurity, fraud detection, trust & safety, or abuse prevention. Experience with graph-based ML, NLP for security signals, or time-series anomaly detection. Knowledge of adversarial ML, model evasion techniques, or secure model design. Experience building systems that operate under strict latency or reliability constraints. Prior work in regulated or high-risk environments. Security certifications or coursework (e.g., OSCP, CISSP concepts). Experience with SIEM/SOAR tools or security telemetry platforms. Publications, talks, or open-source contributions in AI or security.

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 — 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.

Our Core Values:

• Stay Curious — Explore new challenges and make space to learn, grow and improve
• Keep it Real — Earn trust through open, honest and clear communication
• Own it — Seek ways to make an impact and take action
• Win Together — Create a culture of connection and inclusion where everyone can be their best

We accept people for who they are, and are proud to consider everyone on an equal opportunity basis without regard to race, color, religion, sex, gender, gender identity or expression, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor. If you need an accommodation due to a disability or for a religious reason, please contact Human Resources immediately.