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This listing was closed on Jul 19, 2026.
Browse Open JobsAI Engineer/Senior AI Engineer - Evisort
Summary by AIEngineer.careers
AI Engineer/Senior AI Engineer - Evisort is a AI Engineer role (full-time). with Workday. in VANCOUVER, CA. Compensation shown: $93K–$140K (est.). Imported listing (source: ca.linkedin.com). Apply on the employer's site (ca.linkedin.com).
Imported listing (source: ca.linkedin.com) · Apply on ca.linkedin.com
VANCOUVER · CA
$93K–$140K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ca.linkedin.com
Join Workday's Evisort AI team as an AI Engineer/Senior AI Engineer to develop tailored user experiences using advanced LLMs, knowledge graphs, and predictive analysis. Collaborate on ML solutions, deploy at scale, and work on contract intelligence products that serve millions of users.
Responsibilities
- Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
- Collaborate with engineers to deliver ML solutions across Workday's product ecosystem
- Develop and deploy new products at scale, leveraging vast computing resources and rich datasets
- Contribute to continuous improvement, quality, scale, and security of ML systems
Requirements
- 5+ years (MLE) or 6+ years (Sr. MLE) experience on a data science/ML engineering team building applied ML products at scale
- 2+ years (MLE) or 3+ years (Sr. MLE) professional experience with ML/DL frameworks such as PyTorch, TensorFlow
- 2+ years (MLE) or 3+ years (Sr. MLE) building services to host ML models in production at scale
- 2+ years (MLE) or 3+ years (Sr. MLE) working with LLMs, text generation models, or graph neural networks
- 2+ years (MLE) or 3+ years (Sr. MLE) experience with cloud computing platforms (e.g., AWS, GCP)
Workday
Pleasanton · US · 20800+ employees
Workday is an enterprise AI platform specializing in cloud applications for HR, finance, and IT management. It focuses on human-AI collaboration to optimize organizational productivity and business processes.
