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Senior AI Workflow Engineer (Healthcare)

Формат работы
remote (только USA)
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

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TL;DR

Senior AI Workflow Engineer (Healthcare): Architecting and deploying AI-enabled workflows for commercial finance teams with an accent on LLM integration, orchestration, and API design. Focus on building scalable automation pipelines, ensuring HIPAA compliance, and driving AI adoption across the enterprise.

Location: Must be based in the USA. Note: A final onsite interview in Chattanooga, TN is required.

Company

hirify.global is a major healthcare provider dedicated to improving the health and wellness of its 3.4 million members through innovative, AI-enabled solutions.

What you will do

  • Partner with finance and underwriting teams to identify and translate operational challenges into AI-driven workflow designs.
  • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
  • Incorporate advanced AI components including LLM agents and retrieval pipelines.
  • Ensure all AI solutions are compliant with healthcare regulations, including HIPAA and internal security policies.
  • Lead training sessions and act as an evangelist for AI adoption across the enterprise.
  • Establish telemetry for performance, cost, and drift monitoring.

Requirements

  • Must be based in the USA.
  • 4+ years of software engineering experience with automation pipelines.
  • Strong proficiency in Python and associated AI/ML libraries.
  • Deep experience with LLMs, NLP, and GenAI frameworks like LangChain, HuggingFace, or LlamaIndex.
  • Understanding of APIs, orchestration, and integration patterns.
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.

Nice to have

  • Experience in the healthcare industry (payers, hospital systems, or health tech).
  • Experience working directly with finance teams.
  • Master’s or PhD degree in a STEM field.

Culture & Benefits

  • Opportunity to work on high-impact AI initiatives in a large-scale healthcare environment.
  • Collaborative culture focused on innovation and operational efficiency.
  • Commitment to diversity, equity, and inclusion in all hiring and promotion practices.

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