AI Automation Engineer (Data Products)

CGI

$80K — $155K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data/AI architecture, workflow automation, or platform engineering (7-10+ years with significant impact considered).
  • Hands-on experience with Microsoft Fabric, SAP BW integration, and MCP implementation.
  • Proficient in Python and SQL; experienced with Automation frameworks like Airflow or Terraform.
  • Understanding of governance and DataOps principles.
  • History of creating and deploying enterprise-scale automation patterns.
  • Strong communication and stakeholder management skills; adept at translating business needs into solutions.
  • Bilingual in French and English; hybrid work arrangement in Montréal.

Responsibilities

  • Design and implement automation by mapping workflows and developing AI pipelines.
  • Integrate AI/automation into data platforms while adhering to governance processes.
  • Standardize and create reusable templates and generators for data products.
  • Collaborate with data engineers and business teams to ensure high-quality deliverables.
  • Implement monitoring and quality gates for automation using DataOps.
  • Automate data contracts and enhance product catalog discoverability.
  • Innovate by exploring and trialing new automation frameworks and practices.

Benefits

  • Ownership from day one with the opportunity to shape company's strategy.
  • Access to innovative development opportunities and global capabilities.
  • Supportive leaders focused on health, well-being, and skill enhancement.
  • Commitment to diversity and fostering an inclusive workplace.
  • Equal-opportunity employer with accommodations available during recruitment.
Full Job Description
AI Automation Engineer (Data Products)

Category: Analytics and Emerging Digital Technologies

Main location: Canada, Quebec, Montreal

Position ID:J1025-1615

Employment Type: Full Time

Position Description:

CGI Montréal is hiring a Senior AI/Automation Engineer to industrialize how data products are designed, built, and operated for clients in the manufacturing sector. You will apply and integrate existing AI and automation frameworks (including MCP) to standardize and accelerate data-product creation across the lifecycle- from intake and design to deployment and monitoring.

Key responsibilities
• Design & implement automation: Map current workflows and deliver AI/automation pipelines using AI models and the MCP framework.
• Integrate with the platform: Operationalize AI/automation within data stacks (e.g., Microsoft Fabric, SAP BW integrations), aligning with governance and lifecycle processes.
• Standardize & reuse: Build patterns, templates, and generators (schemas, code scaffolds, CI/CD jobs) for repeatable, AI-ready data products.
• Collaboration: Partner with data engineers, architects, and business teams to deliver high-quality, compliant data products.
• Operational excellence: Implement observability, monitoring, testing, and quality gates for automation pipelines (DataOps).
• Contracts & catalog: Automate data contracts and improve discoverability via the data product catalog.
• Innovation: Track and trial emerging automation frameworks and AI-assisted development practices.

Qualifications
• 10+ years in data/AI architecture, workflow automation, or platform engineering (open to strong 7-10+ profiles with relevant impact).
• Hands-on with Microsoft Fabric (or similar modern platforms), SAP BW integration, and MCP server/workflow implementation.
• Strong coding: Python, SQL; experience with orchestration/automation frameworks (e.g., Airflow/Azure Data Factory/GitHub Actions/Terraform).
• Solid grasp of governance & DataOps (lineage, monitoring, observability, lifecycle management, security).
• Proven track record creating enterprise-scale automation patterns and rolling them out to teams.
• Excellent communication and stakeholder management; ability to translate business needs into AI/automation solutions.
• Bilingual (French/English); hybrid work model in Montre9al.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $80.000-$155,000 This role is an a future opportunity.

#LI-NO1

Use of the term 'engineering' in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

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