If you’ve shipped real production work in Palantir Foundry and you can build AI-native data products (not just notebooks and vibes), this is a high-leverage role. You’ll be engineering the platform layer that turns messy healthcare financial and clinical data into “always on” agentic workflows like autonomous coding, denial prevention, and payments.
About R1 (R37)
R1 is a healthcare revenue cycle leader, and R37 is its AI-driven initiative to modernize revenue cycle management using R1’s domain expertise and large-scale operational data, paired with Palantir Foundry capabilities, to deliver enterprise-grade automation and decisioning.
Schedule
- Full-time
- Remote (USA)
- Posted: 26 days ago
- Bonus eligible: Target 30% annual bonus plan
What You’ll Do
- Build Foundry Ontology and Object Views for revenue-cycle entities (encounters, claims, denials, payments)
- Build and harden data pipelines into the canonical Ontology (health checks, lineage, versioning, automated releases)
- Own production operations: monitor refresh cadence, triage failures, enforce release discipline and health SLOs
- Design early-phase AI systems over unstructured healthcare data (retrieval, ranking, categorization, generative features) and ship measurable outcomes
- Define evaluation datasets and metrics, connect model performance to operational KPIs, and build model/data flywheels
- Productionize and maintain AI systems with observability, reliability, and cost control across cloud environments
- Collaborate closely with product and domain experts, document tradeoffs, mentor engineers, and uphold strong SDLC/CI/CD/testing practices
What You Need
- Proven experience shipping production applications on Palantir Foundry (ideally across ingest, Ontology, Workshop, Code Workbooks)
- Data engineering fluency: SQL, Python, (Py)Spark
- Strong software engineering fundamentals: scalable system design, testing, CI/CD, code reviews, documentation, and cross-functional collaboration
Benefits
- Competitive benefits package (company-sponsored)
- Pay range listed: $176,000–$220,000/year (varies by location, skills, experience)
- Annual bonus plan eligible (target 30%)
Backbone note: this role is not “learn Foundry on the job.” They’re signaling they want someone who already knows Foundry in production, can keep pipelines healthy, and can prove AI impact with metrics tied to business outcomes. If that’s not you yet, you’d be better positioned for the “AI Engineer III” type roles than this senior Foundry seat.
Happy Hunting,
~Two Chicks…