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11 часов назад

Engineering Manager, AI Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Sweden/Canada
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
Engineering Manager, AI Engineering (Applied AI/ML): Leading an engineering team building and operating applied AI/ML systems with an accent on technical execution, people development, and distributed collaboration. Focus on evaluating AI-assisted development practices, guiding complex technical trade-offs, and scaling maintainable systems across Canadian and Swedish time zones.

Location: Hybrid in Waterloo, Toronto, or Ottawa, Ontario, Canada

Company

hirify.global develops technology for customers serving and protecting people, with a focus on responsible innovation and continuous learning.

What you will do

  • Drive operational excellence and build frameworks for efficient, high-quality engineering delivery.
  • Guide technical execution, assess risks and trade-offs, and partner with Tech Leads on complex initiatives.
  • Coach engineers through ambiguous projects, technical decisions, ownership, and career growth.
  • Foster experimentation and use data to evaluate ideas and improve engineering practices.
  • Align roadmap goals with team capacity across Product, UX, and engineering leadership.
  • Develop collaboration practices for a distributed team working across Canadian and Swedish time zones.

Requirements

  • 3+ years managing or leading engineering teams, with experience building healthy teams, delivering results, and coaching engineers.
  • Hands-on experience building applied AI/ML systems and evaluating technical decisions.
  • Experience coaching Senior and Staff-level engineers with clear, actionable feedback.
  • Strong technical judgment and ability to guide adaptable, maintainable solutions through complex trade-offs.
  • Clear communication with engineering, Product, UX, and leadership stakeholders.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

Nice to have

  • Experience in high-stakes domains such as security, healthcare, or legal technology.
  • Experience deploying AI/ML systems on-premises, at the edge, or in air-gapped environments.
  • Experience building and operating scalable distributed systems.
  • Familiarity with MLOps tooling, including experiment tracking, model versioning, and CI/CD for ML.

Culture & Benefits

  • Values include care, accountability, dedication, and continuous evolution.
  • Focus on continuous learning and professional development.
  • Commitment to a diverse, inclusive, and accessible workplace.
  • Distributed collaboration across Canada and Sweden, with time zone coverage used as an advantage.
  • Employment is contingent on satisfactory completion of a background check.

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