Teams at Qure AI

Lead expansion of an AI-powered lung cancer solution into the U.S. market. Own client solution architecture, workflow scoping, agentic AI prompt and logic design, product roadmap input, quality governance, analytics, customer NPS, and sales enablement. Collaborate across healthcare clients, vendors, Business Development, Operations, and Engineering to deliver reliable, clinically accurate implementations and translate customer feedback into scalable product improvements.

Support the end-to-end deployment and adoption of Qure.ai’s AI-powered lung cancer solution across US customer sites. Coordinate with clinical, IT, administrative, engineering, AI, platform, and support teams to manage integrations, workflows, go-lives, issue resolution, and post-deployment stabilization. Translate customer and payer needs into product insights, improve deployment playbooks and SOPs, and develop product narratives and strategic assets that support business development and customer conversion.

Build and deploy production-grade LLM features for healthcare workflows, including clinician assistants and diagnostic automation. Develop APIs, internal tools, RAG workflows, model integrations, prompt management, evaluation systems, observability, and safety guardrails. Optimize latency, cost, and reliability through caching, batching, and fallback strategies. Collaborate across infrastructure, product, research, and clinical teams while leading end-to-end initiatives and supporting responsible LLM adoption.