Senior AI Security Engineer -

Overview

Remote
$70 - $80
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence
PHD
Information Security
Cybersecurity
Machine Learning
GenAI

Job Details

This position is 100% remote opportunity within USA. No C2C candidates PLEASE!

AI Security Engineer will serve as a senior technical expert responsible for designing, building, and maintaining AI models and systems that support cybersecurity and information security objectives. This individual contributor s role will focus on the practical application of AI to real-world security challenges, including inventory, threat detection, anomaly analysis, and automation of security operations. The ideal candidate will bring deep technical expertise in AI/ML, a strong understanding of secure system design, and a collaborative mindset to work alongside the Generative AI teams and the GIS teams.

Key Responsibilities:

  • AI System Design & Development: Architect, build, and deploy Models, pipelines, and systems that support cybersecurity use cases such as inventory, threat detection, behavioral analytics, and incident response.
  • Security-Driven Innovation: Apply AI to automate and enhance security operations, reduce response times, and improve threat intelligence.
  • Model Evaluation & Monitoring: Ensure AI models are robust, explainable, and resilient to adversarial threats through rigorous testing and continuous monitoring.
  • Data Engineering: Design secure and scalable data pipelines to support model training and inference using structured and unstructured security data.
  • Thought Leadership: Serve as a subject matter expert on AI, advising stakeholders and contributing to Marriott s AI strategy.
  • Documentation & Governance: Maintain clear documentation of models, methodologies, and outcomes to support transparency, reproducibility, and compliance.

Qualifications:

  • Education: Master s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, a related STEM field, or commensurate experience in role.
  • Experience: 5+ years of experience in software engineering, data science, or AI/ML development. 2+ years applying AI to cybersecurity, information security, rare event detection, complex path trajectories, graph learning, or related domains.
  • Proven experience delivering production-grade AI systems in enterprise environments.
  • Strong communication and interpersonal skills, with the ability to convey complex concepts to nontechnical stakeholders.

Technical Skills:

  • Deep understanding and experience building AI Systems and Generative AI technologies, models, and platforms.
  • Experience in Security Tools and AI/ML frameworks such as PyTorch, TensorFlow, Task and Pipeline Systems, and Agent Frameworks.
  • Experience in developing software and models in at least one of the following languages: Python, C++, Go, Java, or Rust.
  • Proficiency in security protocols, encryption methods, and vulnerability assessment tools.
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