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 Description
We 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 Responsibilities
Design and execute quality engineering strategies for Claims AI 10.0 initiatives across PCRB, E&I UNET, USP, and Disputes
Build and maintain functional, integration, regression, and end-to-end test coverage for AI/ML and automation solutions
Validate business workflows, claims logic, and platform integrations across supported Lines of Business
Develop and execute test plans for APIs, UI workflows, data processing, and model-driven outputs
Collaborate with engineering, AI, and business teams to ensure requirements are testable and well understood
Identify defects, validate fixes, and improve release confidence before UAT and production deployment
Strengthen test automation, non-production validation, and quality reporting across delivery cycles
Support responsible AI validation where applicable, including consistency, explainability, and workflow outcome checks
Contribute to continuous improvement in test processes, coverage, and engineering quality standards
Required Skills
Strong experience in Quality Engineering, QA automation, or test engineering
Experience with functional, integration, regression, and end-to-end testing
Experience validating APIs, workflows, and data-driven systems
Strong understanding of defect management, test planning, and release validation
Experience working with engineering teams on automation and AI/ML-enabled solutions is preferred
Ability to work effectively across multiple Lines of Business (LOBs)
Strong analytical, problem-solving, and communication skills
Experience with test automation tools, validation frameworks, and quality metrics is preferred
Additional Details
AI Persona: AI Validator / Quality Engineer
Site: [Minnetonka- USA]
