Hippocratic AI · San Francisco
Customer SupportCustomer ExperienceRemoteFullTimeposted 2w ago
As HAI's first forward-deployed Deployment Architect, you will embed directly within health systems to architect and launch our healthcare AI agents into production. Your work will put breakthrough AI technology in front of clinical teams who desperately need it—directly shaping how thousands of patients receive safer, more responsive care. This role exists because our customers are ready to deploy at scale, and they need an expert who can bridge the gap between our cutting-edge AI and their operational reality.
Own your first major outcome: By day 90, you will have completed a full deployment cycle at your assigned health system: documented their clinical workflows, architected a custom integration with their EHR (Epic, Cerner, or Athena), designed and deployed at least one production AI agent handling real patient or clinical workflows, and trained their team to operate it independently.
Drive lasting impact: At 12 months, you will have scaled from one to multiple deployed agents across your health system, established a repeatable deployment playbook that reduces future implementation cycles by 40%, built strong enough relationships that customers are requesting you for expansions, and directly contributed evidence that our agents improve patient safety or operational efficiency—proving out the category in a real health system.
You'll join an embedded team of HAI engineers, clinical experts, and implementation leaders—working side-by-side at the customer site. You'll operate with high autonomy in the field, but with direct access to our product, ML, and clinical teams back home. This is a culture of bias toward action, customer obsession, and shipping real solutions that matter.
Partner with clinical and operational leaders onsite to map end-to-end workflows, identify AI automation opportunities, and translate complex clinical requirements into integration specifications and conversational AI designs
Design and document technical integration architecture connecting our AI agents with enterprise EHR systems (Epic, Cerner, Athena), CRMs, patient engagement platforms, and clinical data repositories to ensure secure, compliant data flow
Architect, customize, and deploy modular AI agents aligned to customer use cases—from patient triage and intake automation to clinical documentation support—managing the full deployment lifecycle from design through production launch
Lead post-sale technical implementation as the primary technical contact, driving requirements definition, timeline management, stakeholder coordination, and ensuring deployment milestones are met and customer success is achieved
Build repeatable tooling and playbooks that standardize our deployment process, reduce time-to-launch for future customers, and enable scaling of implementation capacity across multiple health systems
Bachelor's degree in Computer Science, Business, Engineering, or a related field
Minimum 5 years of experience in healthcare implementation, enterprise software deployment, or health-tech product management
Minimum 5 years of hands-on experience integrating with enterprise EHRs (Epic, Cerner, Athena, or similar platforms) or working in healthcare payer/digital health environments
Demonstrated ability to build and maintain strong customer relationships and operate autonomously in client-embedded, field-based roles
Proven track record of translating complex external stakeholder needs into actionable product and technical requirements
Must be based within 50 miles of York, Pennsylvania, and available to work on-site at the customer site 5 days per week
Master's degree in Computer Science, Business Administration, or Healthcare Management
Experience building or deploying conversational AI, LLM-based systems, or clinical decision support tools
Familiarity with healthcare compliance frameworks (HIPAA, HL7, FHIR) and experience navigating security and data governance requirements
Startup or high-growth technology experience, particularly in scaling go-to-market or customer implementation functions
Comfort reading, debugging, and discussing Python code with engineering teams
Background in clinical operations, healthcare delivery, or patient-facing healthcare technology
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.