Role descriptionJob Summary
Lead the design and implementation of quality assurance strategies for AIML Generative AI APIs and AI enabled applications to ensure high performance and reliability
Job Description
- Define and implement comprehensive quality strategies tailored for AIML models Generative AI APIs and AI enabled applications.
- Validate functional accuracy AI response quality system performance reliability integration and regression through automated testing techniques
- Develop and maintain reusable AI testing frameworks and methodologies to enhance efficiency across multiple customer projects
- Utilize Rest Assured for API testing to ensure robust and reliable API performance
- Collaborate with cross functional teams to ensure alignment of quality standards and testing approaches
- Continuously improve testing processes by integrating the latest tools and best practices in AI quality assurance
- Stay updated with emerging trends and technologies in AI testing and quality assurance to drive innovation
Roles and Responsibilities
- Design and execute test plans and strategies for AIML and Generative AI solutions
- Develop automated test scripts and frameworks including the use of Rest Assured to validate AI model outputs and system integrations
- Analyze test results to identify defects or areas for improvement in AI response and system performance
- Work closely with development and product teams to address quality issues and optimize AI application reliability
- Ensure consistent application of quality standards across various customer engagements
- Maintain and enhance testing frameworks to support efficient and scalable testing
- Stay abreast of industry best practices and emerging technologies to continuously improve quality assurance processes
