3 дня назад
AI Efficiency Lead (AI Enablement, Dev & QA)
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
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.
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