Data Scientist, Agentic Engineering – Air Canada, Toronto, ON
Location: Toronto, ON | Company: Air Canada
Air Canada is hiring a Data Scientist, Agentic Engineering in Toronto, Ontario, for a technology-focused role connected to artificial intelligence, data science, agentic AI solutions and cloud-based digital products.
This position may suit candidates with experience in software engineering, machine learning, API development, cloud platforms and production-grade AI systems. The role supports the development of intelligent solutions that can improve internal tools, operational processes and customer-facing digital experiences.
About This AI and Data Science Role
The Data Scientist, Agentic Engineering position sits within a modern technology environment where data science, software development and artificial intelligence intersect. The work may involve building AI agents, creating scalable services, connecting models to business systems and helping transform prototypes into reliable production tools.
Based in Toronto, this role is connected to Air Canada’s broader digital and operational transformation. Candidates should be comfortable working with engineering teams, data scientists, architects, product stakeholders and business units that rely on practical AI solutions to support decision-making and automation.
Key Areas of Responsibility
This role may involve building AI-powered services, developing integrations and supporting the lifecycle of agentic engineering solutions. A successful candidate should be able to combine technical depth with practical delivery in a production environment.
Agentic AI Solutions
Help package AI solutions as containerized services with well-defined APIs for real business use cases.
Cloud Deployment
Deploy and operate solutions across cloud platforms, using modern development and release practices.
CI/CD Pipelines
Design and maintain pipelines that support reliable testing, release management and service updates.
System Integration
Connect AI services with enterprise systems, APIs and data platforms used across the organization.
Monitoring and Reliability
Support logging, tracing, performance monitoring and observability for AI-powered applications.
Cross-Team Collaboration
Work with data science, architecture and business teams to turn ideas into production-ready solutions.
Working With AI in an Airline Environment
AI and data science roles in aviation can influence many parts of the business, from operations and planning to customer experience and internal productivity. For Air Canada, agentic engineering may help transform data science concepts into services that can be tested, deployed and maintained at scale.
This kind of role requires more than model knowledge. Candidates may need to understand software architecture, data pipelines, cloud infrastructure, security expectations and the practical limitations of production systems. The best fit is likely someone who can move between experimentation and engineering discipline.
Skills That May Help Candidates Succeed
Applicants with experience in software engineering, machine learning engineering, cloud platforms and containerized applications may be well matched for this role. The official posting highlights experience with CI/CD, APIs, Python, cloud platforms and modern AI technologies.
Important for building reliable, maintainable AI services that can operate beyond experimentation.
Useful for connecting models, agents and data workflows to production-ready applications.
Helpful for deploying, scaling and monitoring applications across environments such as Azure or AWS.
Needed for developing services, integrations and tools that allow AI systems to interact with enterprise platforms.
Valuable for designing solutions that use modern AI architecture, orchestration and prompt-based workflows.
Who This Position May Suit
This Air Canada role may appeal to candidates who enjoy building practical AI products rather than only working on research or analysis. It may suit professionals who like solving technical problems, integrating systems and helping organizations adopt AI in a reliable way.
The official posting refers to experience in software engineering, platform engineering or machine learning engineering, along with knowledge of containerization, cloud infrastructure, CI/CD and LLM-based systems. Applicants should review the full posting carefully to confirm current requirements before applying.
How to Apply
Job seekers interested in this Air Canada Data Scientist, Agentic Engineering position should review the full posting and apply directly through Air Canada’s official careers website. Joblyz is an independent employment information platform and does not receive applications for this role.
Before applying, candidates should prepare an application that reflects their experience in software engineering, machine learning, APIs, cloud platforms, production systems, CI/CD practices and agentic AI solution development.