Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy.
Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues.
Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures.
Advance AI architecture for interacting with complex and unstructured healthcare contract & financial data.
Drive the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment.
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About Arbital Health
Arbital Health pioneers value-based care by offering a neutral adjudication platform. You will help accelerate the shift to value-based contracts for over 40 payers and providers. The company manages 600,000+ patient lives using AI-powered platforms like Arbital Flex and ATLAS. Arbital Health secured $41 million in funding across two rounds.
How We Work
Arbital Health embraces a flexible hybrid and remote work model. Some roles allow full remote work. Others prefer a hybrid setup, with 2 days per week in the San Francisco Bay Area office. Quarterly travel to the San Francisco office is required for remote team members. The company invests in high-potential, humble individuals who thrive in fast-paced environments. You will find a focus on results, innovation, collaboration, community, velocity, and transparency. Arbital Health builds an inclusive environment to transform healthcare by aligning incentives.
Engineering at Arbital Health
You will build and scale a new healthcare data and analytics platform. This platform supports Value-Based Care, reducing US healthcare costs. Engineers work on a production data pipeline that ingests, enriches, aggregates, and summarizes healthcare financial data. This data powers AI and web tools. You will enhance and scale this core platform using Python, Spark, and big data technologies. The company uses AWS and Databricks for development and deployment. AI-native development with tools like Cursor, Claude, and Copilot is integrated into workflows. You will ensure data quality, integrity, privacy, security, and HIPAA compliance through automated testing. Collaboration with actuarial and delivery teams using Python and R is common. Engineers deploy and monitor machine learning models in production.
Why Join Us
Drive real change in healthcare by accelerating value-based care adoption.
Work with cutting-edge AI and big data technologies to build impactful platforms.
Collaborate with a high-potential, humble team backed by leading investors.
Own data pipeline architecture and scale solutions processing critical healthcare data.
Enjoy generous equity grants and comprehensive benefits in a flexible work environment.
Benefits & Perks
Flexible hybrid and remote work options
Generous medical, dental, and vision insurance with high employer-paid contributions
4% retirement match (401k)
Paid parental leave
Flexible PTO, including a winter closure and 10 holidays each year