AI Applications Engineer I (Clinical Research)

The Mount Sinai West Cardiology AI Research Lab is seeking an experienced and highly motivated AI Applications Engineer II to support the rapid development, implementation, and optimization of AI-enabled clinical applications within a healthcare environment.

This role sits at the intersection of software engineering, clinical workflow improvement, data integration, and applied artificial intelligence. The engineer will work closely with physicians, clinical operations teams, data stakeholders, and technology partners to build practical tools that improve care delivery, streamline workflows, and support innovation within cardiology.

The ideal candidate has strong software engineering fundamentals, experience building full-stack or platform applications, and the ability to move quickly from concept to working prototype. This role is well suited for an engineer who is comfortable working in a fast-moving clinical environment and translating real-world workflow needs into usable, scalable software solutions.

• Design, develop, test, and maintain clinician-facing applications, internal tools, dashboards, and workflow-support systems for the Cardiology AI Lab.
• Rapidly prototype and iterate on AI-enabled clinical workflows, including tools that support documentation, triage, care coordination, remote monitoring, quality improvement, research operations, or clinical decision support.
• Collaborate directly with physicians, advanced practice providers, nurses, administrative leaders, and operational stakeholders to understand clinical workflows and translate user needs into technical requirements.
• Build and maintain full-stack applications, APIs, data pipelines, and integrations that support clinical and operational use cases.
• Assist with integration of applications into healthcare data systems, institutional infrastructure, and approved technology environments.
• Work with clinical and data teams to ensure applications are reliable, usable,