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3 часа назад

Director of Engineering (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Director of Engineering (AI): Co-lead R&D organization to scale data-driven AI products for demand forecasting and real-time decision-making with an accent on data architecture, analytics, monitoring, and system design. Focus on driving execution, innovation, engineering processes, and leveraging AI tools for productivity in high-growth environment.

Location: Hybrid (2-3 days a week from office at 175 SW 7 ST Suite 1900, Miami, FL 33130)

Company

AI-driven company specializing in deep learning, algorithmic trading, large-scale data solutions, and expanding Large Market Model (LMM) beyond airlines.

What you will do

  • Act as senior technical authority in data architecture, analytics, monitoring, and system design; define and execute technical roadmap.
  • Drive execution, innovation, process improvement, change management, and scale R&D team using state-of-the-art AI tools.
  • Design engineering processes for reliability, velocity, quality; champion data quality, validation, and analytics practices.
  • Serve as technical interface to product management and customers, translating needs into development strategies.
  • Lead local team, collaborate with remote/distributed teams, foster collaborative, data-driven culture.

Requirements

  • 3+ years managing team leads in Director or Head of R&D role; experience growing R&D at startup/high-growth tech.
  • Proven cross-functional leadership and alignment with remote teams.
  • Strong data engineering, analytics, data science; cloud-native architectures (GCP preferred), scaling systems, CI/CD.
  • Excellent English (spoken/written) for global teams, customers; strong communication to align stakeholders.
  • Hands-on, strategic mindset; passion for AI-driven products.

Culture & Benefits

  • Collaborative, analytical, data-driven, hands-on culture across engineering, data science, product.
  • High-performance engineering focus with emphasis on accountability, extreme ownership, mentoring.
  • Work with visionary leadership, customer impact, scalable production-grade AI solutions.

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