You will own the analytical infrastructure for a clinical AI system, including drift detection, safety-weighted quality scoring, and health scoring analysis. You will also collaborate with engineering teams to evaluate RAG performance and clinical skills library accuracy.
The Principal will serve as the technical authority for interoperability standards, bridging the gap between product development and external standards bodies like HL7 and ONC. They are responsible for shaping product strategy in alignment with evolving regulatory frameworks and ensuring the scalability of AI-powered interoperability capabilities.
You will build and operate a reliable, secure, and efficient platform for the b.well network using AWS and EKS. You will also champion automation and represent the company's engineering work through external industry engagement.
You will design and build the production infrastructure, deployment pipelines, and observability layers for a clinical AI system. You will collaborate with data scientists to ensure models move from prototype to reliable production environments.
You will lead the end-to-end design of complex, data-rich healthcare products, including AI-powered assistants and SDKs. You will collaborate with product and engineering teams to translate health data into simple, actionable user experiences.
The specialist will manage the B2B client support queue, ensuring all tickets are triaged and resolved within SLA windows. They will also handle proactive client communications, monitor system health, and coordinate with internal engineering and product teams to resolve technical issues.
The Lead Product Designer will own and elevate the end-to-end user experience across the company's product ecosystem, including AI-driven health tools. They will partner with product and engineering leadership to define design strategy, conduct user research, and build scalable design systems.
Own the product roadmap for FHIR-based interoperability and the b.well Network, translating regulatory requirements into technical specifications. Define and track KPIs to optimize network growth and improve data exchange between patients, providers, and payers.
Set the technical direction for ingesting, transforming, and delivering healthcare data at scale on a FHIR-based platform. Lead the implementation of AI-native engineering practices and mentor senior and mid-level engineers.
Own the end-to-end healthcare data lifecycle, from ingesting raw sources to delivering standards-conformant FHIR data. Utilize AI-native tooling and coding agents to build resilient pipelines and optimize production performance.
Design and build scalable data ingestion pipelines to transform fragmented provider data into standardized FHIR resources. Own end-to-end data quality, implementing AI-powered tooling for entity resolution and relationship inference.
Design and build event-driven distributed systems and API architectures using Kafka and federated GraphQL. Lead technical design reviews and mentor senior engineers to ensure platform coherence and scalability.
Drive complex enterprise software implementation projects from inception to completion while ensuring timely delivery within scope and budget. Collaborate with internal teams and external partners to manage healthcare system integrations and foster high-level client relationships.
Design, build, and scale real-time health data exchange solutions using FHIR standards and cloud-native infrastructure. Manage complex integration projects connecting EMRs, labs, and pharmacy systems while ensuring HIPAA compliance and data security.
The Senior Site Reliability Engineer will focus heavily on automation across infrastructure building, monitoring, and disaster recovery, while also building new solutions to support the business network. They are expected to document processes, mentor peers, and engage in the technology community through speaking and blogging.
The Staff Data Engineer will design and implement robust, secure, and scalable data pipelines for analytical and operational use cases, contributing to real-time and batch data infrastructure development. This role involves integrating diverse healthcare data sources and collaborating with product, ML, and platform teams to power data-driven experiences.
This role involves leading the design, development, and implementation of large-scale, real-time health data interoperability solutions, including architecting APIs compliant with CMS regulations and leading connections to national healthcare networks. The Lead Engineer will also design scalable data pipelines for ingesting and exchanging health data from diverse sources and lead a team of data engineers.
