3 дня назад
Principal AI Engineer
188 000 - 282 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer (LLM/RAG): Designing and building production-grade ML systems for Workday’s next generation of intelligent agents with an accent on model integration, agent logic, orchestration, and end-to-end lifecycle ownership. Focus on building scalable RAG pipelines, evaluation and feedback loops, deploying observable model services, and solving reliability and explainability challenges at global scale.
Location: Vancouver, British Columbia, Canada. Hybrid Flex Work requires spending at least 50% of each quarter in the office or in the field with customers, prospects, and partners.
Base salary: 188,000–282,000 CAD per year, with possible bonus, commission or annual refresh stock grants.
Company
is a Fortune 500 company providing an AI platform for managing people, money, and business workflows.
What you will do
- Design and build core machine learning systems for production AI agents.
- Develop frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration.
- Own the lifecycle from problem framing and data strategy through deployment, monitoring, evaluation, and continuous improvement.
- Build scalable, observable, reliable, and explainable agent systems integrated into the platform.
- Partner with software engineers, product managers, and data scientists in a senior cross-functional pod.
- Provide technical leadership while applying emerging techniques in agentic architectures.
Requirements
- 10+ years of experience building applied machine learning products at scale across research, design, implementation, production, and evaluation.
- 4+ years of professional experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.
- 6+ years of experience building services that host machine learning models in production at scale.
- 3+ years of experience with large language models, text generation models, and/or graph neural networks.
- 6+ years of experience with cloud computing platforms such as AWS or GCP.
- Experience leading, mentoring, or managing ML engineering teams, plus a bachelor’s degree in engineering, computer science, physics, mathematics, or an equivalent field.
Nice to have
- Master’s degree or PhD.
- Deep knowledge of statistical analysis, supervised and unsupervised learning, and natural language processing for information retrieval or recommendation systems.
- Experience solving ambiguous, open-ended problems and technically leading teams.
Culture & Benefits
- Flexible hybrid work combining office and remote time.
- Opportunity to work on production-grade AI used by millions of people.
- Bonus, commission or role-specific bonus eligibility and annual refresh stock grants may be available.
- Reasonable accommodations are available during the application process.
- Equal opportunity employment with consideration for qualified applicants with disabilities and protected veterans.
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