Назад
Company hidden
3 дня назад

AI Efficiency Lead (AI Enablement, Dev & QA)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Efficiency Lead (AI Enablement, Dev & QA): Driving AI adoption across development and quality assurance teams by standardizing tools, enabling AI-supported workflows, and measuring productivity and quality outcomes with an accent on practical enablement, responsible use, and continuous improvement. Focus on integrating agents, copilots, automation, and knowledge-enabled workflows, solving adoption challenges, and improving AI assets through structured feedback.

Location: Nice, France

Company

hirify.global powers technology and services for the travel industry through a global organization.

What you will do

  • Lead and coordinate the AI adoption roadmap across development and quality assurance activities within the Service Train.
  • Evaluate, select, standardize, integrate, and scale AI tools such as coding assistants, test-generation solutions, code-review tools, agents, copilots, and knowledge-enabled workflows.
  • Coach delivery teams through enablement sessions, practical guidance, and community-building activities that support AI adoption and autonomy.
  • Identify local and systemic adoption challenges involving tooling, access, governance, skills, responsibilities, dependencies, and organizational change.
  • Collect structured feedback from teams and collaborate with central transformation teams to improve AI-enabled assets.
  • Measure and communicate productivity, efficiency, and quality outcomes while promoting secure, compliant, and responsible AI use.

Requirements

  • Experience in software engineering, development, and/or QA, including practical use of AI and generative AI tools across the software development lifecycle.
  • Understanding of AI tooling ecosystems, including agents, copilots, automation capabilities, AI-assisted delivery solutions, and knowledge-enabled workflows.
  • Technical understanding of engineering practices, platform considerations, and tooling integration.
  • Ability to coach, influence, and support change across geographically distributed teams.
  • Awareness of AI governance, security, intellectual property, and data protection considerations.
  • Experience with Agile methodologies, SAFe, and web or digital delivery environments is beneficial.

Culture & Benefits

  • Flexible working model.
  • Learning through on-the-job training, formal activities, and collaboration with colleagues.
  • Supportive and caring environment focused on career and personal well-being.
  • Competitive rewards package including salary, bonus, equity, and benefits.
  • Global, diverse, and inclusive community.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →