AI Penetration Tester: 26-00607

Akraya, Inc. • Remote (San Diego, CA, US) • 3d ago

Primary Skills: AI Penetration Testing (Expert), AI automations (Advanced), LLM Testing (Proficient), security testing frameworks (Intermediate), RAG pipelines (Proficient)
Contract Type: W2
Duration: 9+ month with possible extension
Location:
Pay Range: $110 hr to $113.75/ Per Hour on W2
#LP

Job Summary:
We are seeking a specialized AI Security Penetration Tester for our Global Security Support Center - Application Security (GSSC AppSec) team, which is dedicated to executing client's Customer Penetration Testing & Security Findings (CPT & SF) program. This role involves adversarial security testing of AI and GenAI systems, including applications powered by Large Language Models (LLM), AI automations, and RAG pipelines, as well as developing AI-specific attack scenarios and methodologies. The ideal candidate will work closely with cross-functional teams, including M&A, Product Security, Engineering, and Risk, to ensure the integrity, quality, and security of AI initiatives across the company.

Key Responsibilities:

Perform adversarial security testing of AI and GenAI systems, including LLM-powered applications, agentic workflows, and RAG pipelines.
Develop and execute AI-specific attack scenarios (e.g., prompt injection, data leakage) and validate remediation efforts.
Create, maintain, and share repeatable AI testing methodologies and tooling across internal products and acquisitions.
Act as the AI security lead for M&A due diligence and post-acquisition integration, including scoping AI security assessments and reviewing testing results.
Track and guide the remediation of AI security risks through to successful integration

Must-Have Skills:

Direct experience testing LLM or GenAI applications, AI agents, or AI-enabled workflows.
Familiarity with AI/LLM security risks (e.g., prompt injection, sensitive data disclosure, model misuse).
Experience building automated or repeatable security testing frameworks.
Exposure to AI security guidance, such as OWASP GenAI / LLM Top 10 or NIST AI RMF.

Industry Experience:
Previous experience in application security and offensive security within tech or cybersecurity domain.

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