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
- 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.
- 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).
- Maintain the CI/CD threshold-gate configuration so a failing Trustworthiness check blocks release rather than just flagging it.
- Package audit evidence — run provenance, evidence exportability, regulation-coverage reports — for the AI Trust & Compliance Engineer's CSG review-board submissions.
- Track dataset coverage and flag gaps as agent scope expands into recent domains, data types, or regulatory contexts.
- 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
- 5-7 years in QA/test engineering for ML or GenAI systems, ideally with a dedicated eval framework (DeepEval, Ragas, Promptfoo, or comparable).
- Hands-on experience with AssureAI or a directly comparable AI-assurance/evaluation platform.
- Working knowledge of bias/fairness testing, explainability
📌 Assure AI Engineer (Bengaluru)
🏢 Zensar Technologies
📍 Bengaluru
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