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5 дней назад

Staff Automation Engineer (AI)

126 000 - 244 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
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
Staff Automation Engineer (AI/n8n): Designing and operating scalable AI-powered automation solutions and intelligent workflows across Avalara with an accent on n8n orchestration, API-first integrations, and enterprise platform reliability. Focus on building AI agents, event-driven integrations, CI/CD and governance standards, observability, and reusable automation frameworks.

Location: Fully remote across the United States

Salary: $126,000–$244,000 annually, depending on the state; eligible for an annual performance bonus.

Company

hirify.global develops a cloud compliance platform that connects tax and technology, processing customer API calls and tax returns at enterprise scale.

What you will do

  • Own and execute the enterprise AI automation and transformation strategy, using n8n as a core workflow orchestration platform.
  • Design and build secure, resilient automation solutions, AI-enabled workflows, intelligent agents, and decisioning frameworks.
  • Architect API-first and event-driven integrations connecting enterprise systems, automation platforms, and AI services.
  • Establish standards for development, deployment, monitoring, reliability, governance, CI/CD, and release management.
  • Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent accelerators.
  • Lead technical design reviews and post-incident reviews while mentoring engineers and implementation partners.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related field, plus 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture.
  • Deep hands-on experience with n8n or Boomi, including enterprise automation solutions and AI-enabled workflows.
  • Strong expertise in API-first and event-driven architectures, REST APIs, webhooks, OAuth, JWT, and secure integrations.
  • Experience with CI/CD, automation governance, observability, reliability practices, and enterprise-scale platforms.
  • Experience with AWS, Azure, or Google Cloud Platform, including AI, machine learning, and large language model integrations.
  • Ability to identify high-value AI automation opportunities, measure business impact, influence technical direction, and mentor engineers.

Culture & Benefits

  • Fully remote work arrangement within the United States.
  • Paid time off and paid parental leave.
  • Eligibility for bonuses and location-dependent medical, life, and disability insurance.
  • Commitment to diversity, equity, inclusion, and employee resource groups.
  • AI-first working environment with ongoing learning and knowledge sharing around AI technologies.

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