• Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features. • Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage. • Create and maintain test harnesses for AI services, applications, and APIs. • Perform API testing for AI services and backend systems. • Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features. • Test AI/ML applications and machine learning models from a product and user perspective. • Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior. • Define structured rubrics that translate qualitative findings into measurable evaluation gates. • Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing. • Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications. • Contribute to multi-team projects and codebases, ensuring code quality and consistency. • Participate in code reviews and provide constructive feedback to peers. • Document and present findings and ideas across the company.

• Design and execute test strategies for policy issuance and claims automation systems. • Build and maintain test coverage across web, API and backend workflow systems. • Validate end-to-end insurance processes including policy creation, updates, claims submission, assessment and resolution. • Identify edge cases, workflow gaps and failure scenarios in complex insurance processes. • Improve regression testing coverage to reduce recurring defects in policy and claims systems. • Work closely with engineers and product teams to validate features before release. • Track, document and report bugs with clear reproduction steps and business impact analysis. • Support manual testing for complex workflows where automation is not yet sufficient. • Improve QA processes, test standards and overall system quality practices. • Continuously improve reliability of policy and claims workflows through structured testing.

• Own and improve release validation and regression testing for production deployments. • Build and maintain automated test suites for web, API and workflow systems. • Design release test coverage for insurance workflows including quotes, policy issuance, endorsements, claims and payments. • Improve pre-release checks, smoke testing and production readiness validation. • Work closely with engineers to validate changes before deployment to production. • Identify critical edge cases, failure paths and risks in multi-step workflows. • Track, document and report bugs with clear reproduction steps and release impact analysis. • Support manual release testing when automation coverage is not sufficient. • Improve QA processes, release gates and overall deployment confidence. • Continuously reduce regression issues and production defects through better testing strategy.

• Build and maintain automated test suites for API and web-based systems. • Design test coverage for end-to-end insurance workflows including quotes, policy issuance, endorsements, claims and payments. • Develop API-level validation for core business logic and workflow transitions. • Build UI automation tests for critical customer-facing and internal systems. • Improve regression testing coverage to reduce production defects. • Work closely with engineers and product teams to validate features before release. • Identify edge cases, API failure scenarios and UI inconsistencies. • Track and document bugs with clear reproduction steps and system impact analysis. • Support manual testing for complex or evolving workflows where needed. • Improve QA automation frameworks, practices and overall test reliability.