Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.
Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.
Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.
Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Boston, MA unless explicitly noted otherwise in the job description.
We are seeking a dynamic and experienced Solution Architect to drive the integration and deployment of our advanced AI agents across healthcare organizations — including payors, providers, and digital health companies. In this role, you will partner directly with customers to deeply understand their operational workflows, identify and translate their technical requirements into effective AI-powered conversations, and guide them through setting up integrations and deploying agents.
You will serve as the technical backbone of our client relationships. From defining integration requirements to building and launching conversational AI agents that enhance patient care, you will have a pivotal impact on our product, customer success, and ultimately, patient outcomes.
Customer Workflow Discovery: Partner with customers to analyze and document their operational workflows, translating these into integration specifications and AI conversation designs.
Integration Architecture: Define, document, and drive the technical architecture required to connect our solutions with client EHR systems, CRMs, population health tools, and other relevant platforms.
AI Agent Design & Deployment: Design, customize, and deploy modular, scalable AI agents that align with the customer’s unique needs and use cases.
Technical Project Leadership: Lead and manage the technical post-sale implementation process, acting as the primary technical contact and ensuring a seamless deployment.
Cross-Functional Collaboration: Work closely with engineering, product, machine learning, clinical, and sales teams to develop solutions to meet our customer’ needs.
Tooling & Process Automation: Develop reusable tooling, playbooks, and repeatable frameworks to improve implementation scalability and efficiency.
Bachelor's or Master's degree in Computer Science, Business or a related field
Minimum of 5 years of experience in healthcare implementation or product management.
Minimum of 5 years of experience integrating with enterprise EHRs (Epic, Cerner, Athena, etc.) or payers / digital health companies.
Familiarity with healthcare data and interoperability standards (such as FHIR, HL7v2, etc.).
Experience with ancillary healthcare integrations, including population health systems, CRM, ERP, etc.
Proven ability to cultivate strong customer relationships and deliver exemplary product support.
Demonstrated proficiency in translating external stakeholder needs into internal product requirements.
Comfortable reading and debugging Python.
***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.
Originally posted on Himalayas
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