Assure AI Engineer

Gemini – AssureAI Engineer

2 positions

Keywords: AssureAI · Evaluation Datasets · Red-Teaming · Bias & Explainability (SHAP/LIME) · Threshold Gates · CI/CD · Audit Evidence · Python

About the Role

You are one of two hands-on operators of AssureAI's Trustworthiness pillar inside the Governance Control Tower. Where the AI Trust & Compliance Engineer sets the strategy — which regulations map to which checks, what a passing threshold means — you build and run the evaluation suites that prove it, day in and day out, across a growing roster of Gemini-based agents. You report to the AI Trust & Compliance Engineer and work closely with the AI Engineers building the agents you test.

What You'll Own

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Build and maintain evaluation datasets and scenarios for each of AssureAI's 19 Trustworthiness checks (explainability, audit provenance, regulation coverage, safety guardrails) as new agents come online.

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Run scheduled and on-commit bias, toxicity, red-team, and explainability (SHAP/LIME) suites; triage failures and route them to the right owner (AI Engineer, Integration Specialist, or Governance Engineer).

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Maintain the CI/CD threshold-gate configuration so a failing Trustworthiness check blocks release rather than just flagging it.

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Package audit evidence — run provenance, evidence exportability, regulation-coverage reports — for the AI Trust & Compliance Engineer's CSG review-board submissions.

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Track dataset coverage and flag gaps as agent scope expands into new domains, data types, or regulatory contexts.

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Split coverage with the second AssureAI Engineer across agent domains or pipeline stages so evaluation throughput scales with agent count.

What We're Looking For

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5-7 years in QA/test engineering for ML or GenAI systems, ideally with a dedicated eval framework (DeepEval, Ragas, Promptfoo, or comparable).