AI Automation Engineer – Data Integration and Workflow Automation

AI Automation Engineer – Integration, Workflow Automation - Data Analytics

Location: Montreal, QC. Work Model: Hybrid (3 days per week in office).

Required Skills

• API Development & Integration Engineering
• Workflow Automation (Power Automate or equivalent)
• Data Analytics & Business Intelligence (BI)

Job Summary

Design and implement scalable AI-driven automation solutions across enterprise systems. Develop integrations, automation workflows, and data analytics solutions to enable data-driven decision-making.

Integration Development & Engineering

• Design, develop, and maintain APIs, connectors, and integration pipelines across internal and external systems.
• Enable data exchange between enterprise applications, cloud platforms, and third-party tools.
• Build and optimize ETL/ELT pipelines for automation and analytics use cases.
• Ensure integrations are secure, scalable, and performant.
• Troubleshoot and resolve integration issues while maintaining system reliability.

Automation Development & Workflow Management

• Design and implement automation workflows using Power Automate or equivalent platforms.
• Develop automated solutions for notifications, approvals, exception handling, and business process orchestration.
• Act as SME for workflow design and process optimization.
• Collaborate with stakeholders to identify automation opportunities and streamline manual processes.
• Monitor, maintain, and enhance automation workflows for efficiency and reliability.

Data Analytics & Business Intelligence

• Perform data mapping, transformation, and reconciliation across systems.
• Develop dashboards and reports using BI tools such as Power BI or Tableau.
• Enable real-time reporting for business and operational insights.
• Ensure data quality, consistency, and accuracy across reporting systems.
• Translate business requirements into analytical models and visualizations.