Location
toronto, on, Canada
Posted
June 18, 2026
Job Description
Responsibilities
- Build and maintain scalable batch and streaming data pipelines for ingestion, transformation and curation
- Design and optimize data models, feature stores and storage patterns for AI/ML workloads
- Implement DataOps and MLOps automation, including CI/CD, data validation, model deployment, monitoring and drift detection
- Design, build and optimize agentic AI systems and LLM‑powered applications, RAG pipelines and agent orchestration
- Develop and integrate AI services into secure, production‑grade environments
- Design and implement AI systems architecture best practices and standards across the organization
- Build scalable, resilient cloud and on‑premise systems for hosting AI/LLM applications
- Provide infrastructure design, optimization and monitoring support
- Translate business requirements into technical solutions through cross‑functional collaboration
- Ensure code qu...