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1 день назад

Agent Deployment Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Agent Deployment Architect (AI): Deploying and customizing generative AI LLMs within healthcare environments for payors and providers with an accent on technical integration and client strategy. Focus on building prototypes, integrating with EHR systems, and ensuring safe clinical conversation deployment.

Location: Onsite in Duarte, CA (5 days per week) with occasional travel to Palo Alto, CA

Company

hirify.global is a leading generative AI company building a safety-focused LLM specifically for the healthcare industry.

What you will do

  • Serve as the technical lead for client engagements, guiding end-to-end solution deployment and customization.
  • Act as the primary technical bridge between the internal engineering team and client stakeholders to ensure smooth implementations.
  • Rapidly prototype integrations and build internal tooling to meet specific client requirements.
  • Manage the full technical deployment lifecycle, including onboarding, configuration, validation, and troubleshooting.
  • Collaborate with product and clinical teams to integrate field insights into the product roadmap.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in technical customer-facing deployments or implementation engineering.
  • Deep experience integrating with healthcare systems such as EHRs (Epic, Cerner, Athena) or CRMs.
  • Strong knowledge of healthcare data and interoperability standards including FHIR and HL7v2.
  • Experience working within health systems, payors, or digital health environments.
  • Ability to satisfy client-specific credentialing, including drug screening and proof of required vaccinations.

Nice to have

  • Strong Python skills for debugging and writing scripts.
  • Familiarity with cloud platforms, APIs, and secure data practices.
  • Startup experience and comfort with ambiguity and high velocity.

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