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19 часов назад

Agent Deployment Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Agent Deployment Architect (AI/Healthcare): Leading the end-to-end deployment and customization of safety-focused LLMs within clinical environments with an accent on EHR integrations and healthcare interoperability standards. Focus on prototyping integrations, bridging the gap between engineering and healthcare stakeholders, and ensuring the safe implementation of autonomous AI conversations in high-impact settings.

Location: Onsite in Seattle, WA (5 days per week at client site)

Company

hirify.global is a generative AI company in healthcare developing safety-focused LLMs capable of autonomous clinical conversations with patients.

What you will do

  • Serve as the technical lead for client engagements, overseeing the entire deployment and customization lifecycle.
  • Act as the primary technical bridge between internal engineering teams and client stakeholders.
  • Develop rapid prototypes for integrations and build internal tooling to meet specific client requirements.
  • Manage the technical deployment lifecycle, including onboarding, configuration, validation, and troubleshooting.
  • Collaborate with product and clinical teams to translate client insights into the product roadmap.

Requirements

  • Location: Must be based in Seattle, WA for onsite work
  • 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 expertise integrating with healthcare systems such as EHRs (Epic, Cerner, Athena), CRMs, or population health platforms.
  • Strong proficiency with healthcare data and interoperability standards (FHIR, HL7v2).
  • Ability to meet healthcare facility requirements, including drug screening and proof of vaccinations.

Nice to have

  • Strong Python skills for scripting and debugging.
  • Experience with cloud platforms, APIs, and secure data handling practices.
  • Startup experience and the ability to thrive in ambiguous, high-velocity environments.

Culture & Benefits

  • Opportunity to work on category-creating technology in the healthcare AI space.
  • Collaborate with a world-class team of physicians, AI pioneers, and researchers from top institutions (Stanford, Google, NVIDIA).
  • Backed by leading global investors with significant funding (Series C).
  • High-impact role focused on improving global patient outcomes.

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