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4 дня назад

Director, Engineering (AI)

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, Engineering (AI): Leading the strategy, architecture, and execution of the Agentic Content Studio Platform with an accent on AI-assisted workflows, platform scalability, and human-in-the-loop operating models. Focus on building high-performing engineering teams, driving pragmatic AI adoption, and delivering complex platform transformations to support global tax compliance content.

Location: Must be based in the United States

hirify.global is an industry-leading cloud compliance platform processing billions of transactions annually, dedicated to automating global tax and compliance processes.

What you will do

  • Define and execute the engineering vision, architecture, and delivery roadmap for the Agentic Content Studio Platform.
  • Lead the development of AI-assisted workflows to automate content sourcing, extraction, validation, and maintenance.
  • Build scalable platform capabilities to support onboarding of new global compliance content domains.
  • Establish reliable human-in-the-loop operating models combining AI automation with researcher oversight.
  • Design secure, observable, and resilient platform services including APIs, workflow orchestration, and integrations.
  • Build and develop a high-performing engineering organization with strong technical depth and execution discipline.

Requirements

  • Must be based in the United States
  • 12+ years of software engineering experience, including large-scale platforms or distributed systems.
  • 5+ years of experience leading engineering managers and senior engineers in complex organizations.
  • Strong engineering background in Python and modern AI application frameworks.
  • Experience with LLMs, agent-based systems, RAG architectures, or equivalent AI platforms.
  • Proven experience leading platform strategy, architecture, and execution with measurable business outcomes.

Nice to have

  • Experience building cloud-native systems on AWS, Azure, or GCP.
  • Familiarity with MLOps practices including CI/CD, evaluation pipelines, and model lifecycle management.

Culture & Benefits

  • Comprehensive compensation package including bonuses.
  • Private medical, life, and disability insurance.
  • Paid time off and paid parental leave.
  • Strong commitment to diversity, equity, and inclusion with 8 active employee resource groups.
  • AI-first culture with a focus on 10x productivity and continuous learning.

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