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Staff Automation Engineer (AI)

126 000 - 244 000$
Формат работы
onsite
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
Staff Automation Engineer (AI): Establishing an enterprise-grade AI automation and transformation ecosystem centered on n8n, integrating APIs, event-driven systems, AI agents, and business workflows with an accent on secure orchestration, governance, and measurable operational improvement. Focus on designing production-grade AI workflows, implementing CI/CD and observability, improving reliability and MTTR, and mentoring engineers across enterprise automation initiatives.

Location: United States

Base pay: $126,000–$244,000 annually, depending on state and location.

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 the enterprise AI automation and transformation strategy with n8n as a core orchestration platform.
  • Architect secure, scalable automation using n8n, Boomi, APIs, event-driven systems, and AI agents.
  • Define development environments, CI/CD pipelines, governance models, reusable templates, and workflow standards.
  • Implement monitoring, logging, anomaly detection, intelligent alerting, and reliability guardrails for deterministic and AI-driven workflows.
  • Lead architecture reviews, technical design sessions, workflow reviews, and post-incident reviews.
  • Mentor engineers and contractors on AI agents, prompt engineering, orchestration, responsible AI, and operational excellence.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture.
  • Deep hands-on expertise with n8n or Boomi, including AI-enabled workflows, agents, and business automations.
  • Experience with API-first and event-driven architectures, REST, webhooks, OAuth, JWT, API security, and AI/ML service integration.
  • Experience with CI/CD, cloud platforms such as AWS, Azure, or GCP, LLMs, prompt engineering, AI agents, and observability.
  • Ability to influence architecture at scale and drive adoption of AI-powered automation and transformation.

Nice to have

  • Experience with cloud AI services such as Bedrock or Azure OpenAI.
  • Experience measuring AI workflow latency, cost, accuracy, and drift.

Culture & Benefits

  • AI is embedded in workflows, decision-making, products, and everyday business challenges.
  • Paid time off and paid parental leave.
  • Eligibility for annual bonuses based on individual and company performance.
  • Benefits may include medical, life, and disability insurance depending on location.
  • Inclusive culture supported by employee resource groups and leadership sponsorship.

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