Publié il y a 10 mois
AI Automation Engineer (Data Products)
@ CGI
Montréal, Québec
SIGNAUX
En bref
CGI Montréal is hiring a Senior AI/Automation Engineer to industrialize how data products are designed, built and operated for manufacturing clients. The role applies and integrates AI and automation frameworks, including MCP, across the data-product lifecycle. The posting asks for 10+ years of experience (7–10+ with strong impact considered), bilingual French and English, and a hybrid model in Montréal, with a reasonable estimated range of $80,000–$155,000 per year.
Responsabilités :
- Design and implement AI and automation pipelines using MCP
- Integrate automation with Microsoft Fabric and SAP BW
- Build reusable patterns, templates and generators
- Implement observability, testing and DataOps quality gates
- Automate data contracts and catalog discoverability
Résumé des exigences :
- 10+ years in data/AI architecture or platform engineering (7–10+ considered)
- Hands-on Microsoft Fabric, SAP BW and MCP experience
- Strong Python and SQL coding
- Governance and DataOps knowledge
- Bilingual French and English
Outils et compétences
Source et dates
Type de source non vérifié · njoyn
- Date publiée par l’employeur
- 2025-12-31
- Première détection par notre source
- 2026-10-17
- Mise à jour du dossier source
- 2026-10-17
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 10 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
| Champ | Valeur |
|---|---|
| Taille | 10001+ |
| Siège social | E-Commerce Place |
| Offres sur Jobsy | 513 |
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 Montréal.
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
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 Montréal.
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
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