A managed integration layer that connects AI clinical documentation tools to health system identity, provisioning, and EHR data workflows.
Added Jun 6, 2026
Last signal 1w ago
Healthcare AI products are scaling across countries, languages, and millions of patient sessions, but deployment into health systems depends on complex enterprise integrations. Teams need to support REST APIs, SAML/OIDC, SCIM, and FHIR/HL7 while keeping clinician documentation workflows reliable at high volume.
Build a SaaS gateway for clinical AI vendors and health systems that standardizes authentication, user provisioning, and EHR interoperability. The product would provide prebuilt connectors, deployment monitoring, integration templates, and workflow-safe data exchange for AI care documentation tools.
AI care documentation is already operating at massive scale, with millions of visits per week and hundreds of thousands of clinicians using these tools. As adoption moves from individual clinicians to health systems, integration complexity becomes a purchase-driving bottleneck.
Improve our physician-facing care platform and integrate AI tooling that increases physician efficiency and clinical capability Build robust integrations with large enterprise clients, including EMR integrations with healthcare providers, claims data structuring with health plans, and HIE records parsing
Designed with clinician workflows at the forefront, InterSystems EHR emphasizes usability, interoperability, and clinical efficiency. IntelliCare extends these capabilities through AI-enabled automation and decision support, helping reduce documentation burden, surface relevant clinical insights, and enable clinicians to focus more fully on patient care. Built on InterSystems’ interoperable data platform, the solution scales to complex healthcare environments and supports standards-based data exchange globally.
Build and deploy RAG pipelines, multi-agent workflows, and real-time conversational AI systems integrated into live clinical environments Ensure interoperability with healthcare data standards and platforms (EHR systems, FHIR, HL7)
Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable.
That’s where you come in. You will work on LLM-powered microservices that integrate Suki products with some of the world's top health systems. You will build out features and services that directly impact doctors and their patients, securely retrieving relevant records and decisioning criteria. You will advance the technical direction of our EMR integration efforts, exploring ways to standardize, streamline, and scale our integration platform. You will be the builders of the systems that bring Suki’s Ambient Clinical Intelligence (ACI) to thousands of clinicians and improve their lives everyday.
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