AI Security Systems Architect

Requisition Id 16751 

Overview: 

We are seeking an AI Security Systems Architect to design and develop state-of-the-art systems for security testing and evaluation of artificial intelligence technologies. This role involves creating scalable infrastructure to support cutting-edge adversarial testing methodologies, such as red team vs. blue team exercises and AI-on-AI evaluation frameworks.

 

The ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for AI Security Research (CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation.

 

Key Responsibilities:

• Design and Development for Security Testing
  • Architect and/or implement scalable systems tailored specifically for security testing and evaluation of AI systems.
  • Develop frameworks to support red/blue team exercises in simulated environments, enabling manual and automated adversarial testing at scale.
  • Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect vulnerabilities or weaknesses.
    
    
• Scalability and Cluster Computing
  • Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions.
  • Implement cluster computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads.
  • Optimize resource allocation for simultaneous testing tasks and real-time tracking of security metrics.
    
    
• Adversarial and Threat Modeling Infrastructure
  • Develop systems to automate the generation and execution of diverse adversarial testing scenarios, including techniques for perturbation, poisoning, and evasion attacks.
  • Design platforms for threat modeling in AI systems, enabling comprehensive vulnerability assessments tailored to diverse use cases, from cloud-hosted models to edge deployments.
  • Enable rapid prototyping and iteration for adversarial defenses integrated into the architectural design.
    
    
• Collaboration and Security Validation
  • Work closely with security specialists, AI researchers, and DevSecOps teams to evaluate and validate the security of AI systems aligned with organizational security standards.
  • Partner with stakeholders to design customized testing environments that simulate real-world attack and defense scenarios in production-like conditions.

 

Basic Qualifications:

• MS Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with at least 2 years of experience or PhD in Computer Science, Computer Engineering, Cybersecurity.

• Experience architecting and implementing complex distributed systems and willingness to learn
• Experience in cluster computing and scaling for high-performance environments, with hands-on experience in frameworks such as Hadoop, Spark, or Kubernetes and willingness to learn

 

Preferred Qualifications:

• Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups.
• Expertise in designing systems that support red/blue team operations alongside DevSecOps integrations.
• Knowledge of privacy-preserving AI methods, secure federated learning, and cryptographic protections.
• Research or publication experience in adversarial testing, distributed systems, and AI system security.
• Experience in supporting continuous integration pipelines for AI security validation in production environments.

 

Special Requirements:

• This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position i