GrepJob
Grafana

Staff AI Engineer, People Technology | Canada | Remote

Grafana
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about 3 hours ago
Remote, Canada
Staff+

Responsibilities

  • Design and build AI-powered workflows and analytics tools for People data.
  • Architect solutions leveraging BigQuery and integrate various platforms.
  • Establish CI/CD pipelines and testing frameworks for AI systems.
  • Define standards for prompt engineering and evaluation frameworks.
  • Partner with People Analytics to ensure high-quality datasets.
  • Build internal dashboards and automated workflows for operational efficiency.
  • Collaborate with stakeholders to translate business problems into technical solutions.
  • Design systems for secure handling of sensitive employee data.
  • Establish governance standards for AI models and workflows.
  • Implement monitoring frameworks for AI system accuracy and fairness.
  • Collaborate with cross-functional teams to align data architecture.
  • Document systems and governance frameworks for AI initiatives.
  • Provide guidance and training materials for People teams adopting AI tools.
  • Set technical direction for AI architecture within the People technology ecosystem.
  • Mentor engineers and influence cross-functional architecture decisions.

Requirements

  • 7+ years of engineering or data engineering experience.
  • 2+ years working with AI/ML systems or LLM-based workflows.
  • Strong experience with Google Cloud Platform and BigQuery.
  • Proficiency in Python, SQL, and modern APIs.
  • Experience designing scalable data pipelines and analytics platforms.
  • Knowledge of responsible AI practices and data governance.
  • Ability to partner with technical and non-technical stakeholders.

Benefits

  • 100% remote work with a global culture.
  • Opportunities for career growth and development.
  • Transparent communication and open decision-making.
  • In-person onboarding for new employees.
  • 30 days of annual leave, including Grafana Shutdown Days.

Tech Stack

Google BigQueryGoogle Cloud PlatformGrafanaMakePythonSQL

Categories

AI & MLData Engineering