We're building the next generation of AI Quality Engineering for healthcare.
This is a capability-building role, not a maintenance role. Rather than maintaining an existing QA organization, you'll define, build, and lead a Quality Engineering function for AI-powered healthcare products from the ground up — establishing the standards, processes, automation, and AI validation practices that will support our platforms as they scale over the next several years.
This is a player–coach role. You are expected to provide technical leadership while remaining hands-on with automation, AI validation, and quality engineering activities when needed. We are open to candidates currently titled QA Manager, QA Architect, or Senior QA Engineer — what matters is the ability to build and lead this function.
THE MISSION
We are not looking for someone to manage a test backlog.
We are looking for someone to build and own an AI Quality Engineering capability that will grow with the organization over the next 2–3 years.
Traditional software QA remains essential. But our long-term differentiator is AI quality — and this role will own it end to end.
CORE OWNERSHIP
• End-to-end software quality across web applications and integrated platform releases
• AI evaluation and validation — relevancy, faithfulness, contextual accuracy, hallucination detection, bias
• Clinical reasoning and safety validation for AI-generated treatment suggestions and clinical decision support
• Hallucination and guardrail testing for AI-driven clinical workflows
• AI regression testing as models, prompts, and workflows evolve
• Automation engineering using Playwright and JavaScript/TypeScript with full CI/CD integration