Cardiology AI Solutions Engineer

Mount Sinai Morningside; New York (NY); On-site; USD 128,000 - 193,000; Full time

Job summary

Mount Sinai Morningside seeks an experienced AI Applications Engineer to design, develop, and optimize clinician-facing software within the Cardiology AI Lab. You will work at the intersection of software engineering, clinical workflows, and data integration to deliver practical tools that enhance care delivery and workflow efficiency.

The role requires strong fundamentals, experience building full-stack or platform applications, and the ability to move quickly from concept to prototype in a

Qualifications

• Bachelor's degree in computer science, software engineering, data science, biomedical informatics, engineering, or a related field.
• 3+ years in software engineering, application development, data engineering, AI/ML engineering, or related role.
• Strong programming skills in Python, JavaScript/TypeScript, Java, or C#.

Responsibilities

• Design, develop, test, and maintain clinician-facing applications and dashboards for Cardiology AI Lab.
• Prototype AI-enabled clinical workflows and tools for documentation, triage, care coordination, remote monitoring, and decision support.
• Collaborate with physicians, nurses, and stakeholders to translate workflow needs into technical requirements.
• Build and maintain full-stack applications, APIs, data pipelines, and integrations for clinical use cases.

Skills

Python

JavaScript/TypeScript

Java

C#

APIs

Full-stack

Data integration

Clinical workflows

Documentation

Education

Bachelor's degree in CS/Engineering

Tools

HL7/FHIR concepts

REST APIs

Databases

Cloud services

CI/CD

Job description

Mount Sinai Morningside seeks an experienced AI Applications Engineer to design, develop, and optimize clinician-facing software within the Cardiology AI Lab. You will work at the intersection of software engineering, clinical workflows, and data integration to deliver practical tools that enhance care delivery and workflow efficiency.

The role requires strong fundamentals, experience building full-stack or platform applications, and the ability to move quickly from concept to prototype in a