1 месяц назад
VP, AI Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, AI Engineering (AI/ML): Owning AI/ML engineering strategy and delivering production systems that drive measurable business impact with an accent on ML architecture, model governance, data pipelines, and MLOps infrastructure. Focus on scaling technical teams, translating business strategy into engineering roadmaps, and establishing reliable metrics for ML system performance and business value.
Location: Vancouver, BC, Canada · Hybrid
Company
is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.
What you will do
- Own the AI/ML engineering strategy and roadmap, translating business objectives into technical priorities.
- Lead and scale teams of ML engineers, data scientists, and infrastructure specialists through hiring, development, and technical delivery.
- Partner with executive leadership on AI capability definition, feasibility assessments, resourcing plans, and business cases.
- Set architecture decisions and technical standards for ML systems, including model governance, data pipelines, MLOps infrastructure, and deployment frameworks.
- Collaborate with product, data, and platform teams to integrate AI initiatives with broader engineering and business operations.
- Establish metrics for ML performance, reliability, and business value while promoting engineering excellence, testing, documentation, and knowledge sharing.
Requirements
- 10+ years of experience in ML engineering, data science, or AI-focused roles, including at least 5 years in leadership positions.
- Demonstrated success shipping ML models and systems to production at scale and delivering business value.
- Deep technical fluency in machine learning fundamentals, model development, training infrastructure, and deployment pipelines.
- Experience hiring, mentoring, and retaining strong technical talent.
- Ability to translate technical constraints and trade-offs for non-technical stakeholders and connect business objectives with engineering decisions.
- Experience with hybrid or fully remote work, or openness to hybrid work in the Vancouver area.
Culture & Benefits
- Hybrid work environment in Vancouver, with consideration for candidates experienced in fully remote settings.
- Opportunity to be considered for future AI transformation leadership roles through the candidate network.
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