Specialist, Data and AI - AI Platforms
About the role
Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation. The Specialist, Data & Analytics – AI Platforms acts as a technical steward within Air Canada’s enterprise AI ecosystem. The role is accountable for ensuring that AI workloads, platforms, and integration points are deployed, operated, and governed in a manner that aligns with enterprise architecture, security, and operational standards. This position bridges business needs and technical execution by supporting the lifecycle of AI products and ensuring their readiness and reliability across environments.
Responsibilities AI Platform & Solution Integration
- Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture.
- Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems.
- Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes.
Azure Environment Deployment & Configuration
- Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards.
- Manage compute, storage, networking, and other Azure resources needed for AI platforms.
- Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation.
- Support infrastructure as code processes using approved templates and CI/CD pipelines.
MLOps & AI Deployment Enablement
- Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards.
- Support model packaging, deployment, versioning, rollbacks, and promotion across environments.
- Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health.
- Contribute to automated testing and quality checks to improve deployment reliability.
Operational Readiness, Monitoring & Support
- Ensure AI solutions meet operational readiness standards prior to production release, including documentation, support models, and validation checks.
- Troubleshoot issues related to AI platforms, integration components, and deployment pipelines.
- Perform maintenance activities such as patching, upgrades, and dependency updates.
- Develop and maintain runbooks, operational documentation, and knowledge base materials.
Security, Compliance & Access Governance
- Implement identity, access, and security controls defined by Cybersecurity and Architecture teams.
- Support secure integration of AI platforms with enterprise data, identity, and governance services.
- Apply compliance, audit, and governance requirements across AI environments.
Cross Functional Collaboration
- Collaborate with AI Product Managers to support release planning and execution needs.
- Partner with Data Scientists to operationalize models and ensure deployment alignment.
- Engage with Enterprise Architects and Cloud/Security teams to implement approved designs.
- Act as a technical liaison between design teams and operational teams to support production transitions.
Qualifications Education & Experience
- University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields.
- 5+ years of IT experience in large enterprise environments.
Technical Expertise
- Experience with technologies supporting AI/ML environments, including:
- Azure DevOps & GitHub
- Azure Kubernetes Service
- Databricks
- Azure Machine Learning
- Azure AI Foundry
- Azure Data Factory
- Azure Function Apps
- Azure Storage Accounts
- Key Vault
- SQL Server Databases
- Service Bus
Skills & Competencies
- Excellent communication skills (written and verbal).
- Strong problem solving and analytical abilities.
- Proven capability to work effectively in team driven, collaborative environments.
- Experience in airline data management is considered an asset
- Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Conditions Of Employment Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.
Linguistic Requirements Based on equal qualifications, 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 work environment which highlights employees’ unique contributions to our company’s success.
As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.
Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.
About Air Canada
Canada's largest airline, the country’s flag carrier and a founding member of Star Alliance, the world's most comprehensive air transportation network celebrating its 25thanniversary in 2022, Air Canada provides scheduled passenger service directly to 51 airports in Canada, 51 in the United States and 86 internationally. It is the only international network carrier in North America to receive a Four-Star ranking from Skytrax, which in 2021 gave Air Canada awards for the Best Airline Staff in North America, Best Airline Staff in Canada, Best Business Class Lounge in North America, and an excellence award for its management of the COVID-19 pandemic.
**
Air Canada est la plus importante société aérienne du Canada, le transporteur national du pays et un membre cofondateur du réseau Star Alliance — le plus vaste regroupement mondial de sociétés aériennes, qui célèbre son 25e anniversaire en 2022. Les lignes passagers régulières d’Air Canada relient sans escale 51 aéroports au Canada, 51 aux États-Unis et 86 sur le reste du globe. En Amérique du Nord, Air Canada constitue le seul transporteur aérien d’envergure internationale offrant une gamme complète de services à détenir la cote quatre étoiles de Skytrax qui, en 2021, lui a décerné les prix Meilleur personnel au sol et à bord en Amérique du Nord, Meilleur personnel au sol et à bord au Canada, Meilleur salon de classe affaires en Amérique du Nord ainsi qu’un Prix d’excellence pour sa gestion de la pandémie de la COVID-19.
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Specialist, Data and AI - AI Platforms
About the role
Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation. The Specialist, Data & Analytics – AI Platforms acts as a technical steward within Air Canada’s enterprise AI ecosystem. The role is accountable for ensuring that AI workloads, platforms, and integration points are deployed, operated, and governed in a manner that aligns with enterprise architecture, security, and operational standards. This position bridges business needs and technical execution by supporting the lifecycle of AI products and ensuring their readiness and reliability across environments.
Responsibilities AI Platform & Solution Integration
- Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture.
- Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems.
- Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes.
Azure Environment Deployment & Configuration
- Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards.
- Manage compute, storage, networking, and other Azure resources needed for AI platforms.
- Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation.
- Support infrastructure as code processes using approved templates and CI/CD pipelines.
MLOps & AI Deployment Enablement
- Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards.
- Support model packaging, deployment, versioning, rollbacks, and promotion across environments.
- Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health.
- Contribute to automated testing and quality checks to improve deployment reliability.
Operational Readiness, Monitoring & Support
- Ensure AI solutions meet operational readiness standards prior to production release, including documentation, support models, and validation checks.
- Troubleshoot issues related to AI platforms, integration components, and deployment pipelines.
- Perform maintenance activities such as patching, upgrades, and dependency updates.
- Develop and maintain runbooks, operational documentation, and knowledge base materials.
Security, Compliance & Access Governance
- Implement identity, access, and security controls defined by Cybersecurity and Architecture teams.
- Support secure integration of AI platforms with enterprise data, identity, and governance services.
- Apply compliance, audit, and governance requirements across AI environments.
Cross Functional Collaboration
- Collaborate with AI Product Managers to support release planning and execution needs.
- Partner with Data Scientists to operationalize models and ensure deployment alignment.
- Engage with Enterprise Architects and Cloud/Security teams to implement approved designs.
- Act as a technical liaison between design teams and operational teams to support production transitions.
Qualifications Education & Experience
- University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields.
- 5+ years of IT experience in large enterprise environments.
Technical Expertise
- Experience with technologies supporting AI/ML environments, including:
- Azure DevOps & GitHub
- Azure Kubernetes Service
- Databricks
- Azure Machine Learning
- Azure AI Foundry
- Azure Data Factory
- Azure Function Apps
- Azure Storage Accounts
- Key Vault
- SQL Server Databases
- Service Bus
Skills & Competencies
- Excellent communication skills (written and verbal).
- Strong problem solving and analytical abilities.
- Proven capability to work effectively in team driven, collaborative environments.
- Experience in airline data management is considered an asset
- Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Conditions Of Employment Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.
Linguistic Requirements Based on equal qualifications, 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 work environment which highlights employees’ unique contributions to our company’s success.
As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.
Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.
About Air Canada
Canada's largest airline, the country’s flag carrier and a founding member of Star Alliance, the world's most comprehensive air transportation network celebrating its 25thanniversary in 2022, Air Canada provides scheduled passenger service directly to 51 airports in Canada, 51 in the United States and 86 internationally. It is the only international network carrier in North America to receive a Four-Star ranking from Skytrax, which in 2021 gave Air Canada awards for the Best Airline Staff in North America, Best Airline Staff in Canada, Best Business Class Lounge in North America, and an excellence award for its management of the COVID-19 pandemic.
**
Air Canada est la plus importante société aérienne du Canada, le transporteur national du pays et un membre cofondateur du réseau Star Alliance — le plus vaste regroupement mondial de sociétés aériennes, qui célèbre son 25e anniversaire en 2022. Les lignes passagers régulières d’Air Canada relient sans escale 51 aéroports au Canada, 51 aux États-Unis et 86 sur le reste du globe. En Amérique du Nord, Air Canada constitue le seul transporteur aérien d’envergure internationale offrant une gamme complète de services à détenir la cote quatre étoiles de Skytrax qui, en 2021, lui a décerné les prix Meilleur personnel au sol et à bord en Amérique du Nord, Meilleur personnel au sol et à bord au Canada, Meilleur salon de classe affaires en Amérique du Nord ainsi qu’un Prix d’excellence pour sa gestion de la pandémie de la COVID-19.