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10 часов назад

Principal AI Engineer (Healthcare)

206 600 - 284 300$
Формат работы
hybrid
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
Principal AI Engineer (Healthcare): Defining and implementing enterprise AI architecture for systems that transform clinical documents into structured data, answer questions with citations, and route complex cases to human experts with an accent on LLM platforms, RAG, agentic workflows, and responsible AI. Focus on designing scalable production systems, establishing evaluation and governance standards, and solving reliability, explainability, compliance, security, and cost challenges across multiple engineering teams.

Location: New York, NY; hybrid schedule with three days per week in the office and remaining days remote. Candidates must reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Salary: $206,600–$284,300 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a large U.S. healthcare organization providing insurance and healthcare services to millions of members.

What you will do

  • Define the technical strategy, reference architecture, and roadmap for enterprise AI products and platforms.
  • Design scalable systems for retrieval, LLM orchestration, agentic workflows, human-in-the-loop processing, and AI governance.
  • Lead decisions on model strategies, vendors, platforms, infrastructure, and build-versus-buy choices.
  • Build prototypes, proofs of concept, and reference implementations for emerging AI technologies.
  • Establish standards for evaluation, observability, model lifecycle management, reliability, security, compliance, and responsible AI.
  • Guide architecture reviews, influence executive stakeholders, and mentor senior technical leaders across multiple engineering teams.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 12+ years of software engineering experience, including large-scale distributed systems.
  • Production experience designing and operating enterprise-scale AI platforms or products.
  • Deep expertise in LLM technologies, RAG, agentic systems, orchestration frameworks, evaluation methodologies, and AI operations.
  • Expert-level proficiency in Python and/or TypeScript/JavaScript, with the ability to contribute across the technology stack.
  • Experience setting technical direction, establishing standards, and influencing teams and executives without direct authority.

Nice to have

  • Experience with Model Context Protocol, workflow orchestration, autonomous systems, and emerging AI frameworks.
  • Experience in healthcare, financial services, life sciences, government, or other regulated industries.
  • Experience managing AI vendor ecosystems and shared infrastructure across multiple business units.

Culture & Benefits

  • Work on AI systems processing sensitive clinical information and supporting healthcare outcomes.
  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan, paid time off, holidays, and paid parental and caregiver leave.
  • Short- and long-term disability coverage, life insurance, and other wellness benefits.
  • 40 scheduled hours per week in a hybrid work environment.

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