2 дня назад
VP, AI Engineering
220 000 - 410 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, AI Engineering (AI/ML): Owns technical strategy, builds engineering teams, and ships production AI/ML systems end-to-end with an accent on scalable architectures, data pipelines, model quality, and production reliability. Focus on establishing MLOps and governance frameworks, making build-versus-buy decisions, and balancing technical robustness with business priorities.
Location: United States · Remote
Compensation: $220,000 median offers, with top-tier packages reaching $410,000 annually.
Company
is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.
What you will do
- Own the technical strategy and roadmap for AI/ML initiatives, aligning priorities with business outcomes and architecture constraints.
- Build and lead a high-performing AI/ML engineering team through hiring, mentoring, and setting standards for engineering rigor.
- Partner with product, data science, and platform teams to translate business requirements into scalable ML systems.
- Ship production AI/ML systems end-to-end, from problem definition and data strategy through deployment, monitoring, and continuous improvement.
- Establish engineering standards, MLOps practices, and governance frameworks for performant, auditable, and maintainable models.
- Evaluate emerging ML tools, frameworks, and infrastructure while making build-versus-buy decisions and communicating trade-offs to stakeholders.
Requirements
- 10+ years of software engineering experience, including at least 5 years building, shipping, or leading production AI/ML systems.
- Experience managing and growing engineering teams of 3+ people, including hiring and developing engineers and leaders.
- Strong understanding of ML workflows, including data pipelines, feature engineering, model training, evaluation, and deployment.
- Hands-on experience writing model-training code and working with PyTorch, TensorFlow, and scikit-learn.
- Experience setting technical strategy, making architectural trade-offs, and translating business needs into engineering roadmaps.
- Ability to communicate technical possibilities, risks, and priorities to both technical and non-technical audiences.
Culture & Benefits
- Permanent remote work based in the United States.
- Opportunity to be considered for future AI transformation leadership roles through the candidate network.
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 →