2 месяца назад
Director, AI Engineering – Enterprise AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, AI Engineering – Enterprise AI (LLMs, Generative AI, RAG): Building and scaling enterprise-grade AI applications and engineering capabilities across Marketing, Finance, Legal, Search, and R&D workflows with an accent on production AI systems, cloud infrastructure, and technical leadership. Focus on designing data pipelines and model-serving platforms, establishing architecture and governance standards, and delivering reliable AI applications at enterprise scale.
Location: Ottawa, Canada
Company
is a technology company focused on delivering solutions for enterprise and industrial environments.
What you will do
- Lead, recruit, and grow a high-performing AI engineering team.
- Design and oversee enterprise AI applications for Marketing, Finance, Legal, Enterprise Search, and R&D.
- Establish architecture patterns, technical standards, code review practices, and engineering best practices.
- Guide engineers in AI/ML systems design, cloud infrastructure, production deployment, and operational excellence.
- Partner with product, data science, and business stakeholders to translate requirements into robust technical solutions.
- Build systems for data pipelines, model serving, monitoring, continuous improvement, security, compliance, and governance.
Requirements
- 15+ years of professional software engineering experience with progression into senior or leadership roles.
- At least 3 years of production experience with AI/ML systems, including LLMs, generative AI, or RAG architectures.
- At least 3 years of technical leadership experience managing and mentoring engineering teams.
- Hands-on experience with AWS, Azure, or GCP; Docker or Kubernetes; and modern deployment practices.
- Strong Python or comparable AI/ML programming experience, plus version control, testing, code review, CI/CD, and observability.
- Experience shipping reliable, scalable production systems and collaborating across globally distributed teams and time zones.
Nice to have
- Experience in manufacturing, industrial, or enterprise software environments.
- Familiarity with ERP, CRM, workflow automation, and third-party AI service integrations.
- Experience with RAG systems, knowledge management applications, MLOps, model monitoring, or LLM evaluation frameworks.
- Background in enterprise security, compliance, data governance, and engineering culture development.
Culture & Benefits
- Work within a globally distributed organization.
- Focus on technical excellence, customer focus, and business impact.
- Canada has been recognized among the National Capital Region’s Top Employers and Canada’s Best Employers for Recent Graduates.
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