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Job Analysis:
The QA Engineer role within Korn Ferry's client’s healthcare AI & Analytics team fundamentally aims to ensure the accuracy, reliability, and ethical performance of AI, ML, and Generative AI products and services. The primary responsibilities include designing and executing comprehensive test plans, conducting Functional, UI, and API testing, and evaluating GenAI environments for issues like hallucination detection. Success in this role means effectively collaborating with diverse teams—including data scientists and developers—to not only validate AI outputs but also to contribute to the ongoing improvement of AI Inter-Rater Reliability processes. The candidate will confront unique challenges specific to AI technologies such as bias detection and output quality assurance. Ultimately, thriving in this position requires both technical prowess and a keen understanding of human-centered design to ensure impactful healthcare outcomes.
Company Analysis:
Korn Ferry occupies a unique position as a global organizational consulting firm, dedicated to enhancing workforce performance through strategic talent management and organizational design. As a leader in consulting, it blends insight and analytics to tailor solutions for its clients. The company culture appears to prioritize collaboration, innovation, and a rigorous commitment to ethical practices, reflecting its focus on aligning talent with organizational goals. This culture will likely impact the QA Engineer role, as candidates must navigate both technical challenges and contribute constructively within cross-functional teams. Given that this role directly supports AI applications in healthcare, the strategic alignment with Korn Ferry's goals of empowering organizations through data-driven insights is crucial. The position is not just about applying QA standards; it serves a larger mission of enhancing healthcare services through technology, indicating a relationship between personal beliefs and the company’s mission.