AI Platform Engineer

Overview

The AI Platform Engineer will serve as a key technical partner within the Revenue Cycle group, leading the design, build, and implementation of automation solutions powered by Palantir’s AIP and Foundry ecosystems. This position blends deep engineering expertise with hands-on collaboration and solution deployment to enhance outpatient physical therapy revenue cycle workflows and drive tangible operational improvements.

The ideal candidate is a proactive problem-solver with practical experience in Palantir AIP and Foundry, strong software development capabilities, and a genuine interest in tackling complex operational problems through intelligent, data‑driven automation.

Responsibilities

• Design and implement automation workflows within Palantir AIP and Foundry to optimize revenue cycle operations.
• Build and maintain data pipelines and transformation logic using PySpark and SQL.
• Integrate disparate data sources to create unified, automated workflows.
• Develop custom dashboards, analytic tools, and applications to drive operational efficiency.
• Collaborate with revenue cycle leaders to identify high-impact automation opportunities.
• Ensure solutions are scalable, maintainable, and compliant with enterprise data governance and HIPAA security standards.
• Provide documentation and knowledge transfer for long-term sustainability.
• Mentor junior developers and uphold software development best practices.

Qualifications

• Bachelor’s degree in a STEM field or equivalent forward-deployed engineering experience.
• 3+ years of experience developing solutions using Palantir Foundry and/or AIP.
• Proficiency with Python, SQL, PySpark, and Typescript.
• Strong understanding of data structures, cloud infrastructure, front-end tooling, and large-scale data processing.
• Experience building data pipelines, operational workflows, and automation logic in enterprise environments.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.
• Healthcare experience preferred but not required.