Lead enterprise AI evaluation infrastructure and production readiness framework design.
Develop standardized testing and validation frameworks for AI systems in enterprise settings, ensuring compliance and deployment readiness. Build scalable evaluation infrastructure covering hallucination detection, bias testing, drift monitoring, and governance controls. Work cross-functionally with engineering, risk, and compliance teams to establish enterprise AI quality standards and regulatory alignment. Requires 7+ years in AI/ML engineering, software quality, or data science with hands-on LLM evaluation experience.
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Found at a specialist agency · listed 29 August 2026 · InsideJobs links you to the original posting.