AI Security Systems Architect: Scalable Adversarial Testing
Oak Ridge National Laboratory
Oak Ridge (TN)
On-site
USD 140,000 - 180,000
Full time
14 days+
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Benefits offered by this job
Medical and retirement plans
Flexible work hours
On-site fitness facilities
Generous vacation and holidays
Job summary
A premier research institution in Tennessee is seeking an AI Security Systems Architect to design and develop advanced security testing systems for AI technologies. This critical position emphasizes creating scalable infrastructures, managing adversarial testing methodologies, and collaborating with various teams to ensure AI systems remain secure. The ideal candidate holds a Master's or PhD in a relevant field and has extensive experience in architecting security solutions in complex environments. Competitive salary and benefits offered.
Qualifications
Master’s Degree and 7-10 years of experience or PhD with 2-4 years.
Proven experience in complex distributed systems for security testing.
Expertise in cluster computing with hands-on experience in related frameworks.
Responsibilities
Design scalable systems for security testing of AI technologies.
Implement cluster solutions for high-performance AI workloads.
Develop platforms for adversarial testing scenarios.
Skills
Systems architecture
Cluster computing
Adversarial evaluation techniques
Security testing methodologies
Education
Master’s Degree in relevant field
Tools
Hadoop
Spark
Kubernetes
Job description
A premier research institution in Tennessee is seeking an AI Security Systems Architect to design and develop advanced security testing systems for AI technologies. This critical position emphasizes creating scalable infrastructures, managing adversarial testing methodologies, and collaborating with various teams to ensure AI systems remain secure. The ideal candidate holds a Master's or PhD in a relevant field and has extensive experience in architecting security solutions in complex environments. Competitive salary and benefits offered.