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    <title>Lead AI Red Teaming &amp;amp; QA Engineer - Randstad Technologies Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/lead-ai-red-teaming-amp-qa-engineer-randstad-technologies-recruitment--999e9d65-a506-408d-a0be-d05ef67c2f3b</link>
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    <lastBuildDate>Mon, 25 May 2026 15:06:09 GMT</lastBuildDate>
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      <title>Lead AI Red Teaming &amp;amp; QA Engineer - Randstad Technologies Recruitment</title>
      <link>https://jobs.co.uk/job/lead-ai-red-teaming-amp-qa-engineer-randstad-technologies-recruitment--999e9d65-a506-408d-a0be-d05ef67c2f3b</link>
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      <pubDate>Sun, 17 May 2026 23:00:00 GMT</pubDate>
      <description>Location: City of London | Salary: &amp;pound;500 - &amp;pound;600/day | Type: Contract | We are seeking a  Lead AI Red Teaming &amp; QA Engineer  to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release.   Key Responsibilities      Automated Adversarial Testing:  Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like  Garak ,  Pyrit , and  AgentDojo  to enforce strict safety release gates.     AI Evaluation Frameworks:  Develop metrics and continuous testing for core AI risks, including  hallucinations, memorisation, algorithmic bias, uncertainty, and model drift .     Regulatory Compliance Evidence:  Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by  EU AI Act Article 15 ,  DORA , and  FCA Operational Resilience  guidelines.     Centralised AI-BOM Platform:  Own the enterprise  AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation se...</description>
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