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Added 3 mins ago
AI
Senior SharePoint Developer (SharePoint Online, SPFx, Microsoft 365, Power Platform )
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Vancouver, BC
- Full-time
Experience with Power Apps and Power Automate for business process automation and workflow enablement
Added 3 mins ago
UT
Business System Analyst #26-28193
US Tech Solutions
Toronto, ON
- $85 to $90 CAD / hour
- Contract
Our client, a leading North American financial institution, is expanding a foundational AI program and is adding a Business Systems Analyst V / Engineering Delivery Coordinator to a growing…
Added 3 mins ago
TT
Accounts Payable Clerk
Torus Talent
Vancouver, BC
- $60,000 CAD / year
- Full-time
…in residential real estate development and construction. The business manages projects through multiple stages of development and construction and offers a collaborative, hands-on…
Added 3 mins ago
AI
Sharepoint Developer
Apptoza Inc.
Vancouver, BC
- Full-time
Experience with Power Apps and Power Automate for business process automation and workflow enablement.
Added 3 mins ago
C
Senior Engineer - Buildings
CIMA+
Mississauga, ON
- $110,480 to $151,910 CAD / year
- Full-time
Knowledge of commercial building automation systems and DDC controls systems
Added 3 mins ago
PT
Power BI Developer
Precision Technologies
Mississauga, ON
- Contract
We are seeking an experienced Power BI Developer with a strong background in business intelligence, data warehousing, advanced SQL, and analytics. The ideal candidate will have hands-on…
Added 3 mins ago
AI
Production Support Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
- Full-time
Responsible for supporting business-critical applications and systems through incident resolution, root-cause analysis, troubleshooting, change implementation, system monitoring, and…
Added 3 mins ago
Senior Software Developer (AI Platform & Applications)
Dayforce
Canada
We are looking for an Intermediate to Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced…
Added 18 mins ago
R
Sr. Administrator - Milvus Trade Capture
RBC
Toronto, ON
- Full-time
Access to a variety of job opportunities across business.
Added 18 mins ago
S
Partenaire talents principal(e) / Senior Talent Partner
Systemex
Laval, QC
- Full-time
La personne titulaire du poste dirige le recrutement proactif de Systemex Automation, en mettant l’accent sur la recherche et la mobilisation de talents en ingénierie ainsi que de talents…
Added 18 mins ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
…Solutions (EOS) and help shape the future of software, data, automation, and AI across the organization. This is a hands-on engineering and technical leadership role for a builder who…
Added 19 mins ago
SP
Vice President, Finance
Sun Peaks Resort
BC · Sun Peaks Mountain, BC
- Full-time
Collaborate with IT leadership to enhance digital transformation initiatives, including automation, reporting tools, and business intelligence capabilities
Added 33 mins ago
S
Software Developer Intern (May 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
…computing, building high end scalable solutions, or vision…
Added 33 mins ago
Manager, Portfolio Data Optimization & Modeling
Scotiabank
Toronto, ON
Strong reconciliation, financial analysis, and problem-solving skills across multiple systems and datasets, combined with sound business acumen.
Added 33 mins ago
Cybersecurity Analyst, Mining/Mineral Processing
Blue Moon Metals
Toronto, ON
Working knowledge of the NIST Cybersecurity Framework (CSF 2.0) and/or IEC 62443 for industrial automation and control systems security.
Added 33 mins ago
CN
Analyste d'affaires / Business Analyst
C.A.T. North America Inc.
Vaudreuil-Dorion, QC
- Full-time
We are seeking a motivated and detail-oriented Finance Business Analyst to join our IT team. In this role, you will play a key part in supporting the implementation and optimization of…
Added 33 mins ago
SV
Senior Systems Administrator
Simply Voting Inc.
Montreal, QC
- Full-time
…availability. You will also contribute to incremental improvements and automation of the infrastructure over…
Added 34 mins ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Integrate AI agents with existing engineering infrastructure, including test automation frameworks, CI/CD pipelines, source code repositories, defect tracking systems, engineering…
Added 34 mins ago
AP
Founding Product Manager
AMZ Prep®
Mississauga, ON
- Full-time
…We are building the technology behind that shift, from the systems our teams use on the warehouse floor to the tools our customers use to run their…
Added 48 mins ago
Senior Associate, OOH Direct Activation
WPP Media
Toronto, ON
…building media partner relationships and translating client business goals into top-tier media…
Added 48 mins ago
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Senior Programmer - Tools | Programmeur senior - Outils
NBCUniversal
Montreal, QC
- Full-time
Integrate tools with engine systems, asset pipelines, data processing, and automation workflows.
Added 1 hour ago
HA
Systems Engineer II
Honeywell Aerospace
Mississauga, ON
- Full-time
Support conceptual models and engineering prototypes to test and evaluate the functionality of electronic circuits and test systems.
Added 1 hour ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
8+ years of hands-on software quality assurance experience, with strong functional/manual testing experience and meaningful exposure to test automation.
Added 1 hour ago
CL
Organizational Design Consultant
Community Living BC
Vancouver, BC
- Full-time
Research emerging organizational design practices, including the implications of technology, automation, and evolving workforce needs.
Added 1 hour ago
S
AI Risk Management & AI Risk Engineering Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
· Build and run evaluation suites for LLM, RAG and agentic systems, including scenario and benchmark packs, offline regression evaluations, tool-call and workflow tests and whole-trajectory…

Air Canada

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

Toronto, ON, Canada
Dorval, QC, Canada

Full-time

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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.

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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

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