Senior QA Engineer

A leading technology innovator is seeking an experienced QA Engineer to join their team. This company is at the forefront of developing enterprise AI solutions, leveraging cutting-edge generative and agentic AI to transform various industries, including healthcare.The Role Validate enterprise Generative AI and Agentic AI solutions built using AWS Bedrock and Databricks. Focus on conversational AI, agent workflows, natural-language-to-SQL, KPI assessments, and surveillance capabilities. Ensure data accuracy, security, and end-to-end AI quality. Define and execute test scenarios for Generative AI and Agentic AI workflows. Collaborate with healthcare/business SMEs to understand use cases and validate AI responses in the correct functional context. Support performance/concurrency testing, UAT, defect triage, and production-readiness validation.What You'll Need Strong experience in QA/testing of enterprise applications. Proven API testing experience and strong SQL skills for data validation. Experience with functional, integration, regression, and end-to-end testing of complex data-driven applications. Understanding of Generative AI / LLM concepts and the ability to validate AI-generated results against business outcomes. Basic understanding of US healthcare / Medicaid domain concepts and healthcare data (e.g., MMIS, members, claims, HIPAA, PHI/PII). Strong defect analysis, troubleshooting, communication, and documentation skills.What's On Offer Opportunity to work on cutting-edge Generative AI and Agentic AI solutions. Be part of a dynamic team transforming the healthcare industry. Engage with advanced technologies like AWS Bedrock and Databricks. Contribute to high-impact projects with significant responsibility.Apply via Haystack today!