Specialist - Data and Artificial Intelligence - Artificial Intelligence Systems Integrator

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The person occupying the position of Specialist - Data and Artificial Intelligence (Artificial Intelligence Systems Integrator) acts as a technical manager within Air Canada's enterprise AI ecosystem. The incumbent ensures that AI-related workloads, platforms and integration points are deployed, operated and managed in accordance with the enterprise's architecture, security and operational standards. This person bridges business needs and technical execution by supporting the life cycle of AI products and ensuring their availability and reliability across all environments.

Responsibilities:

• AI platform and solution integration
  • Integrate AI products, machine learning models and data pipelines into enterprise systems, ensuring they are stable, scalable and compliant with reference architecture.
  • Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream or downstream systems.
  • Support the integration of new AI products into shared platforms and contribute to the continuous improvement of integration processes.
• Azure environment deployment and configuration
  • Deploy, configure and manage AI-related workloads in Microsoft Azure, respecting the company's cloud standards.
  • Manage compute, storage and networking among Azure resources required for AI platforms.
  • Contribute to environmental governance by applying deployment models and reinforcing the separation between development, testing and production.
  • Support infrastructure as a code process using approved templates and integration and delivery pipelines.
• Machine learning operations and AI deployment
  • Implement and maintain integration and delivery pipelines for models, inference services and data flows in accordance with defined machine learning operations standards.
  • Support the integration, deployment, version management, rollbacks and promotion of models across all environments.
  • Integrate monitoring, observability and alerting tools into AI-related workloads to ensure operational robustness.
  • Contribute to automated tests and quality controls to improve deployment reliability.
• Operational readiness, monitoring and support
  • Ensure AI solutions meet operational readiness standards before final version deployment, particularly regarding documentation, support models and validation controls.
  • Resolve issues related to AI platforms, integration components and deployment pipelines.
  • Perform maintenance activities such as applying patches, upgrades and dependency updates.
  • Develop and maintain operational records, operational documentation and knowledge-based material.
• Security, compliance and access governance
  • Implement identity, access and security controls defined by the Cybersecurity and Architecture teams.
  • Support secure integration of AI platforms with enterprise data, identity and governance services.
  • Apply compliance, audit and governance requirements across all AI environments.
• Cross-functional collaboration
  • Collaborate with AI Product Leads to address planning and version execution needs.
  • Work in partnership with data scientists to operationalize models and ensure deployment alignment.
  • Collaborate with enterprise IT architects and cloud and security teams to implement approved designs.
  • Act as a technical liaison between design teams and operational teams to facilitate production transitions.

Qualifications

• Education and experience
  • University degree or technical certification in engineering, computer science, mathematics, statistics or related fields.
  • At least five years of IT experience in large enterprises.
• Technical expertise
  • Experience with technologies supporting AI and machine learning environments, including:
  • Azure DevOps and GitHub
  • Azure Kubernetes Service
  • Databricks
  • Azure Machine Learning
  • Azure AI Foundry
  • Azure Data Factory
  • Azure Function applications
  • Azure storage accounts
  • Azure Key Vault
  • SQL Server databases
  • Service Bus
• Skills and abilities
  • Strong oral and written communication skills.
  • Strong problem-solving and analytical skills.
  • Proven ability to work effectively in collaborative environments.
  • Experience in data management for air transport, an asset.
  • Demonstrated punctuality and reliability to foster overall team success in a fast-paced environment.

Employment conditions:

Candidates must be eligible to work in the country concerned at the time a job offer is presented and are responsible for obtaining work permits, visas or other necessary authorizations. Proof of eligibility must be provided before the start date.

Language requirements

All things being equal, preference will be given to bilingual candidates.

Diversity and inclusion

Air Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible and rewarding workplace that highlights the unique contribution of our employees to our company's success.

As an equal opportunity employer, we encourage diverse applications to build a workforce that is varied and representative of our customers and the communities where we live and serve.

Air Canada thanks all applicants for their interest, but only those selected for an interview will be contacted.