Senior AI Engineer, Security Infrastructure

Added
9 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure aws python kubernetes gcp
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📋 Description

  • Research and develop new approaches to AI red teaming, adversarial testing, security evaluation
  • Threat model agentic AI architectures, identifying trust boundaries, attack surfaces, privileged
  • Design adversarial evaluations targeting threats such as prompt injection, indirect prompt
  • Build automated security evaluation and regression frameworks that continuously test agents
  • Translate successful attacks and research findings into production mitigations, architectural
  • Design secure execution environments for AI agents interacting with tools, code, data, and external

🎯 Requirements

  • U.S. Citizenship is required.
  • 5+ years of experience building production software, backend infrastructure, distributed systems
  • Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Cybersecurity, Data
  • Demonstrated experience in AI red teaming, adversarial machine learning, offensive security
  • Experience evaluating AI systems beyond basic direct prompt injection attacks.
  • Strong understanding of how modern LLM and agentic systems operate, including model inference
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