Agent Deployment Architect (Orange, CA)
On-siteSeattle, Washington, United States
Job Summary
Lead client engagements as a technical partner, guiding end-to-end solution deployment and customization across payor, provider, and digital health sectors. Bridge engineering and client stakeholders to ensure smooth implementations while rapidly prototyping integrations, building internal tooling, and configuring systems. Own the technical deployment lifecycle including onboarding, configuration, validation, and troubleshooting, partnering cross-functionally with product and clinical teams to surface insights. Serve onsite five days per week at the client site in Orange, CA, with occasional travel to Palo Alto for strategic planning. Satisfy client-specific credentialing requirements including drug screening and proof of vaccinations. Collaborate with experts from leading healthcare and AI institutions to transform patient outcomes safely.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in technical roles involving customer-facing deployments or implementation engineering
- Deep experience integrating with healthcare systems such as EHRs (Epic, Cerner, Athena), CRMs, or population health platforms
- Strong knowledge of healthcare data and interoperability standards (FHIR, HL7v2, etc.)
- Experience working in complex technical environments within health systems, payors, or digital health
- Excellent communication skills and ability to translate complex technical requirements across diverse stakeholders
- Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations, as mandated by the healthcare facilities where you will be deployed
- This is an onsite role based in Orange, CA, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions
Desired Qualifications
- Strong Python skills and comfort with debugging and writing scripts as needed
- Familiarity with cloud platforms, APIs, and secure data practices
- Startup experience and a comfort with ambiguity, velocity, and building from scratch
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