Find work in Canada.

602,586 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 18 mins ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
Code quality, test coverage and maintainability improve through peer review, automation and adherence to secure coding standards.
Added 48 mins ago
E
Manager, xScale Finance Transformation & Service Enablement
Equinix
Toronto, ON
- Full-time
…Transformation & Service Enablement team. In this role, you will lead the design and delivery of process improvement and transformation initiatives across xScale Finance. You will translate…
Added 48 mins ago
E
Growth Marketing Manager
elDoc
Toronto, ON
- Full-time
…data, models, and infrastructure. By integrating intelligent automation, secure AI, and enterprise governance, elDoc enables organizations to move beyond isolated AI pilots and embed…
Added 48 mins ago
IG
Functional QE Lead
Insight Global
Vancouver, BC
- $120,000 to $140,000 CAD / year
- Full-time
This is a senior, hands-on engineering leadership role rather than a traditional Quality Assurance Lead or test coordination position. You will lead Quality Engineers and workstream QE…
Added 1 hour ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Lead the practical adoption of AI-enabled software engineering across design, development, testing, documentation, operations, and knowledge work. Evaluate and introduce AI-assisted…
Added 1 hour ago
RD
IT Project Manager
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…mission of the role is to drive software innovation, process automation, and governed compliance while enhancing service scalability in the Canadian financial marketplace. In your first 6…
Added 1 hour ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Lead the practical adoption of AI-enabled software engineering across design, development, testing, documentation, operations, and knowledge work. Evaluate and introduce AI-assisted…
Added 1 hour ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…agents, and a solid understanding of validation strategies, test automation, and CI/CD…
Added 2 hours ago
SerDes Analog Design & Correlation, Principal Engineer - 18617
Synopsys
Mississauga, ON
…Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software…
Added 2 hours ago
Senior Manager, Analytics & Insights
Questrade Financial Group
Toronto, ON
Advanced Analytical Delivery & Experimentation: Personally lead hands-on, high-complexity analyses and zero-to-one analytical deep dives; partner with Data Science to design sound…
Added 2 hours ago
E
Integration Lead
EVONA
Montreal, QC
- $145,000 to $175,000 CAD / year
- Full-time
It's a lead role with your hands on the hardware. You'll write the AI&T plan, lead the build, conduct the tests, support environmental campaigns, act as the payload's integration lead with…
Added 2 hours ago
Y
SDET/Automation – Mobility (IOS Applications)
Yochana
Vancouver, BC
- Contract
…quality deliverables for each release. Support high-quality automation test engineering, test plan and principles, adhere to QA best practices. Perform other duties as…
Added 2 hours ago
QI
Tech Lead
Quartermaster inc.
Toronto, ON
- Full-time
Improving the way we use infrastructure, CI/CD, test automation, AI assistants and agents, and other tools for development, testing, trouble-shooting and security
Added 3 hours ago
Engineering Lead Post Booking Optimization - Toronto, ON
Flight Centre
ON
Experienced in cloud-native delivery (Azure preferred), containerization, CI/CD, infrastructure as code, and test automation.
Added 3 hours ago
P
Technical Customer Success Engineer
Procurify
Remote, Canada
- Contract
- Remote
Testing & Implementation: Rigorously test connections to ensure data integrity and seamless user experience before releasing integrations to customers. You will add and configure punchouts…
Added 3 hours ago
AC
Manager, Data and AI - AI Systems Integrations and Agentic technical owner
Air Canada
Toronto, ON · Dorval, QC
- Full-time
…approved architecture and engineering designs into development, test and production in a secure, controlled, repeatable and increasingly automated manner. The Manager leads AI Systems…
Added 3 hours ago
FC
FLIGHT CENTRE - QA ENGINEER - VANCOUVER, BC
Flight Centre Travel Group Canada
BC · British Columbia, Canada
- Full-time
…a QA Engineer, you'll work at the intersection of quality, automation, and innovation, helping ensure every release is reliable, scalable, and ready for users around the…
Added 3 hours ago
FC
FLIGHT CENTRE - QA ENGINEER - TORONTO, ON
Flight Centre Travel Group Canada
ON · Ontario, Canada
- Full-time
…a QA Engineer, you'll work at the intersection of quality, automation, and innovation, helping ensure every release is reliable, scalable, and ready for users around the…
Added 3 hours ago
T
Full Stack Engineer
TechDoQuest
Montreal, QC
- Full-time
You will support and lead different phases of the product lifecycle including analysis, development, and testing.
Added 3 hours ago
XI
Product Owner (Field Services)
Xplore Inc.
Cornwall, ON
- Full-time
We are seeking an experienced Product Owner to lead the vision, strategy, and delivery of our field service and work order management platforms - the systems that get technicians to the…
Added 3 hours ago
XI
Product Owner (Field Services)
Xplore Inc.
Fredericton, NB
- Full-time
We are seeking an experienced Product Owner to lead the vision, strategy, and delivery of our field service and work order management platforms - the systems that get technicians to the…
Added 3 hours ago
XI
Product Owner (Field Services)
Xplore Inc.
Woodstock, NB
- Full-time
We are seeking an experienced Product Owner to lead the vision, strategy, and delivery of our field service and work order management platforms - the systems that get technicians to the…
Added 3 hours ago
XI
Product Owner (Field Services)
Xplore Inc.
Markham, ON
- Full-time
We are seeking an experienced Product Owner to lead the vision, strategy, and delivery of our field service and work order management platforms - the systems that get technicians to the…
Added 3 hours ago
XI
Product Owner (Field Services)
Xplore Inc.
Calgary, AB
- Full-time
We are seeking an experienced Product Owner to lead the vision, strategy, and delivery of our field service and work order management platforms - the systems that get technicians to the…
Added 3 hours ago
Senior Technology Specialist, Integration
Equitable
Waterloo, ON
Design, develop and maintain automation framework for iterative software development and testing, specifically Bicep and DevOps deployment capabilities

Air Canada

Manager, Data and AI - AI Systems Integrations and Agentic technical owner

Toronto, ON, Canada
Dorval, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 19, 2026
Experience: 7+ years of progressive technology experience, including 3+ years leading technical teams in a large, complex enterprise.
Posting language: English
Posted: Nov 5, 2026

Original job description

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 Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines across Air Canada’s enterprise environments. The role ensures that AI solutions move from approved architecture and engineering designs into development, test and production in a secure, controlled, repeatable and increasingly automated manner. The Manager leads AI Systems Integrators and Deployment Specialists, establishes reusable integration and deployment patterns, and works across AI Engineering, Data Engineering, Platform Engineering, Architecture, Cybersecurity, Cloud Operations and DataOps to deliver supportable production outcomes. The role balances engineering velocity with enterprise governance, operational stability, traceability and risk-based controls.

This position may be located in Montreal or Toronto.

Responsibilities:

Lead the AI Systems Integration capability and manage the specialists responsible for moving AI solutions from approved designs into enterprise environments.
Ensure AI products, models, agents, APIs and supporting data pipelines are properly integrated with enterprise platforms and upstream and downstream systems.
Oversee deployment and configuration of AI workloads across development, test and production environments.
Drive approved infrastructure-as-code, CI/CD, MLOps and LLMOps patterns, including application and model promotion, versioning, rollback and environment management.
Establish reusable integration patterns, deployment components, templates and automation to reduce solution-specific engineering effort and accelerate adoption.
Partner with AI Product Managers, Data Scientists, AI Engineers, Solution and Enterprise Architects, Cybersecurity, Cloud Operations, Platform Engineering and DataOps to translate designs into production-ready implementations.
Establish and enforce production-readiness criteria, including monitoring, logging, alerting, runbooks, support documentation, operational ownership and recovery procedures.
Ensure integrations and deployments satisfy Architecture, Cybersecurity, Infrastructure, Data Governance, Privacy and operational requirements.
Implement risk-based controls for solutions involving sensitive data, AI models, autonomous agents or material business decisions, including appropriate human approval points.
Lead technical validation, go-live readiness, post-deployment verification and orderly transition to steady-state operational support.
Define and track measures for deployment success, integration quality, automation, reliability, rework and operational readiness.
Identify recurring integration and deployment issues and improve engineering practices, standards and reusable tooling upstream.
Manage demand, priorities, capacity, dependencies and delivery commitments for the AI Systems Integration function.
Lead, coach and develop a high-performing technical team, establish clear accountabilities and support career growth.
Provide leadership during complex or high-risk implementations and act as an escalation point for integration and deployment issues.
Manage relationships with external technology partners and vendors that complement internal delivery capabilities.
Maintain current knowledge of AI, cloud, integration, deployment and production-engineering practices and assess their applicability to Air Canada.

University degree in Computer Science, Engineering, Information Technology or a related discipline, and/or equivalent relevant professional experience.
7+ years of progressive technology experience, including 3+ years leading technical teams in a large, complex enterprise.
Demonstrated experience in systems integration, cloud engineering, platform engineering, DevOps, software delivery or production operations.
Strong understanding of CI/CD, Git-based source control, branching strategies, automated testing, infrastructure as code, deployment pipelines and environment promotion.
Working knowledge of modern Data and AI ecosystems, ideally including Azure, Snowflake, Databricks, Azure DevOps or GitHub, orchestration platforms and AI/ML deployment tooling.
Understanding of MLOps and LLMOps concepts, model and application deployment, versioning, observability and production lifecycle management.
Experience integrating APIs, data pipelines, cloud services, identity and access controls, enterprise applications and event-driven components.
Strong knowledge of enterprise Architecture, Cybersecurity, Change, Release and IT Service Management practices.
Demonstrated ability to balance governance, production risk and controls with delivery velocity and automation.
Proven people leadership, stakeholder management, communication, decision-making and problem-solving capabilities.
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Experience in aviation, transportation or another highly regulated, operationally critical industry is an asset.

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.

Apply About employer

More about this job

Responsibilities

The Manager leads the technical integration, deployment, and production-readiness of AI products, models, and agents across enterprise environments. They oversee a team of specialists to ensure AI solutions are securely and reliably integrated into production while balancing engineering velocity with governance.

Requirements

Candidates must have a university degree in a relevant technical discipline and at least 7 years of progressive technology experience. Proven expertise in systems integration, cloud engineering, and leading technical teams within a large, complex enterprise is required.

Skills

AI Systems Integration
MLOps
LLMOps
Cloud Engineering
Platform Engineering
CI/CD
Infrastructure as Code
Data Engineering
API Integration
Enterprise Architecture
Cybersecurity
Data Governance
Team Leadership
Stakeholder Management
Production Operations
Software Delivery

Visa sponsorship

Not detected in the job text

Keywords

AI
Data
Systems Integration
MLOps
LLMOps
Azure
Snowflake
Databricks
Azure DevOps
GitHub
CI/CD
Infrastructure as Code
API
DataOps
Cloud Operations
Enterprise Architecture
Cybersecurity
Production Readiness
Automation
Version Control
Observability
Identity and Access Management
IT Service Management
Aviation
Software Delivery
Platform Engineering
Deployment Pipelines
Risk Management
Technical Leadership
Data Governance

Report this job