AI/ML Quality Assurance Engineer- 5+ yrs- New York, United States- Onsite

Job Requirements This India new hire is for a Quality Engineer to support the Claims AI 10.0 Scaling Opportunities (Hemsley AI 10.0 initiative) scaling to E&I UNET, USP, and Disputes.Job DescriptionWe are seeking a highly skilled Quality Engineer to support the validation and quality assurance of AI-driven claims solutions. This role will focus on building strong test strategies, validating AI/ML and automation workflows, and ensuring quality across functional, integration, and end-to-end scenarios. The candidate will work closely with engineering, AI, business, and platform teams to improve quality, reduce defects, and strengthen delivery confidence across multiple Lines of Business.Key ResponsibilitiesDesign and execute quality engineering strategies for Claims AI 10.0 initiatives across PCRB, E&I UNET, USP, and DisputesBuild and maintain functional, integration, regression, and end-to-end test coverage for AI/ML and automation solutionsValidate business workflows, claims logic, and platform integrations across supported Lines of BusinessDevelop and execute test plans for APIs, UI workflows, data processing, and model-driven outputsCollaborate with engineering, AI, and business teams to ensure requirements are testable and well understoodIdentify defects, validate fixes, and improve release confidence before UAT and production deploymentStrengthen test automation, non-production validation, and quality reporting across delivery cyclesSupport responsible AI validation where applicable, including consistency, explainability, and workflow outcome checksContribute to continuous improvement in test processes, coverage, and engineering quality standardsRequired SkillsStrong experience in Quality Engineering, QA automation, or test engineeringExperience with functional, integration, regression, and end-to-end testingExperience validating APIs, workflows, and data-driven systemsStrong understanding of defect management, test planning, and release validationExperience working with engineering teams on automation and AI/ML-enabled solutions is preferredAbility to work effectively across multiple Lines of Business (LOBs)Strong analytical, problem-solving, and communication skillsExperience with test automation tools, validation frameworks, and quality metrics is preferredAdditional DetailsAI Persona: AI Validator / Quality EngineerSite: [Minnetonka- USA]Work Experience 5-7Years