Description

  • 5+ years of experience
  • Hands-on adversarial testing of GenAI systems (prompt injection/jailbreaks, input–output evals, data-exfil testing) with actionable remediation
  • Cybersecurity red-team / penetration testing background and strong Python/scripting for automation and test harnesses
  • ML/GenAI fundamentals (LLMs, embeddings, diffusion models) and adversarial ML techniques (model extraction, poisoning, prompt injection).
  • Familiarity with AI security frameworks: NIST AI RMF or MITRE ATLAS or OWASP Top 10 for LLMs
  • Experience with AI/MLOps platforms & integration frameworks (Azure AI or AWS SageMaker; OpenAI API/Hugging Face; LangChain or equivalent) in an enterprise setting


Nice-to-Haves:

  • Exposure to governance/risk for AI (model risk, policy alignment)
  • SIEM/SOAR & threat-intel integration and monitoring
  • Experience with building reusable adversarial test repos, scripts, and automation

Education

Any Gradute

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