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16 часов назад

Director, AI & Engineering Development (Onsite)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
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
Director, AI & Engineering Development (AI/Healthcare Technology): Leading the delivery of scalable, secure AI-enabled and data-driven solutions across a healthcare technology platform with an accent on engineering execution, architecture, and responsible AI governance. Focus on building production-ready AI capabilities, strengthening MLOps and DevOps practices, and developing high-performing engineering teams.

Location: Onsite in Overland Park, Kansas, United States

Company

hirify.global is a healthcare technology organization that develops solutions for community-based and post-acute care providers.

What you will do

  • Lead engineering teams building, deploying, and operating AI-enabled and data-driven healthcare solutions.
  • Translate AI and product priorities into engineering roadmaps, delivery plans, milestones, and measurable outcomes.
  • Guide architecture across applications, AI platforms, data pipelines, integrations, and cloud-based systems.
  • Drive quality, performance, security, reliability, scalability, operational readiness, and production excellence.
  • Partner with Product, Data Science, Analytics, Clinical, Compliance, Privacy, and Security stakeholders.
  • Lead responsible AI governance, including transparency, explainability, monitoring, continuous validation, and human-centered design.

Requirements

  • 8+ years of software engineering experience, including leadership roles with increasing scope and accountability.
  • Strong background as a software engineer, technical lead, architect, or engineering leader with experience guiding architecture and execution.
  • Experience delivering AI, machine learning, automation, analytics, or data-driven systems into production.
  • Strong understanding of cloud architectures, distributed systems, API and integration patterns, AI/ML platforms, MLOps, DevOps, and modern software delivery.
  • Experience working in regulated industries; healthcare technology experience is strongly preferred.
  • Applicants must be legally authorized to work in the United States. Visa sponsorship is not provided.

Nice to have

  • Experience building or scaling AI-enabled capabilities within enterprise software products.
  • Experience modernizing engineering practices, improving platform scalability, or establishing reusable architecture patterns.
  • Passion for the future of AI in healthcare technology and responsible implementation.

Culture & Benefits

  • Mission-driven work supporting clinicians, providers, clients, and communities.
  • Culture centered on collaboration, trust, service, accountability, and continuous improvement.
  • Inclusive equal-opportunity workplace committed to diversity.
  • Post-offer employment requires a background check and drug screen.

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