Hippocratic Ai·about 1 year ago
Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
We are seeking a dynamic and experienced individual to join our team as the Agent Deployment Architect with a primary focus on Payor Integrations. In this role, you will drive successful product integrations with payor organizations while also supporting opportunities with providers and digital health companies. You will collaborate closely with our clients’ technical and operational teams to facilitate smooth implementation processes and ensure our solutions are optimally utilized in diverse payor environments.
Lead the technical aspects of payor engagements during pre-sales and post-sales cycles, ensuring a seamless, tailored experience for each client.
Serve as the primary technical resource for payor organizations, educating them on features, functionalities, and use cases most relevant to their business needs.
Provide expert guidance in areas such as claims processing, coverage determinations, population health initiatives, and other core payor workflows.
Collaborate closely with cross-functional teams (product, engineering, AI, clinical, and sales) to drive successful outcomes and product enhancements that address payor-specific requirements.
Develop tooling and playbooks to streamline and automate key pre-sales activities for payor clients, improving efficiency and scalability across multiple engagements.
Navigate complex topics such as data integrations (EHR, CRM, ERP), product configuration, and interoperability standards, ensuring payor use cases are addressed effectively.
Must-Have:
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 platforms using APIs
Familiarity with healthcare data models
Proven ability to cultivate strong customer relationships and deliver exemplary product support.
Demonstrated proficiency in translating external stakeholder needs into internal product requirements.
Experience partnering with engineers to deliver product features.
Nice-to-Have:
Comfortable reading and debugging Python.
Start-up experience preferred.
Experience integrating with ancillary healthcare modules (CRMs, pop health systems, ERP, etc)
If you are passionate about revolutionizing healthcare through safe and effective LLM technology and have a proven track record in payor-focused integrations, we want to hear from you! Join us on our mission to transform healthcare and make a global impact on health outcomes.
Please 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.