Principal AI Test Engineer plays a critical role in shaping and advancing IDBS’s AI test strategy across our engineering organization.

Responsibilities

• AI Quality Strategy & Governance: Own and define end-to-end testing strategy for AI/ML systems, establishing standards for model quality, robustness, fairness, explainability, and regulatory compliance across the organization.
• Advanced Validation & Risk Assessment: Design and lead sophisticated validation approaches for AI models and data pipelines, including bias detection, drift monitoring, adversarial testing, and failure‑mode analysis in production environments.
• Test Architecture & Automation Leadership: Architect scalable, automated test frameworks for AI systems (models, data, pipelines, and integrations), leveraging MLOps, CI/CD, synthetic data, and observability tooling.
• Technical Leadership & Mentorship: Act as the subject‑matter expert for AI testing, mentoring engine...