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Added 11 mins ago
Developer
Capco
Toronto, ON
At Capco, we're looking for a Developer with experience in API development, Python, artificial intelligence (AI), and prompt engineering to join our Technology & Engineering practice in…
Added 25 mins ago
AG
Sr. Specialist, Custom Client Analytics
Adelphi Group
Toronto, ON
- Full-time
Proficiency in data analysis and SQL for data manipulation along with a strong understanding of enterprise analytics tools.
Added 25 mins ago
JG
Appian Sr. Developer
J&M Group
Canada
- Contract
Design enterprise-grade Appian solution architectures leveraging Appian BPM, Appian RPA, and Appian AI to transform critical provider workflows.
Added 25 mins ago
CL
Appian developer
Cloudious LLC
Canada
- Contract
- Design enterprise-grade Appian solution architectures leveraging Appian BPM, Appian RPA, and Appian AI to transform critical provider workflows.
Added 25 mins ago
HT
Denodo and Data Analytics
Horizon Tech Services Inc
Calgary, AB
- Contract
Experience with enterprise data integration and ETL/ELT processes.
Added 25 mins ago
I
Software Developer - ETL / Power BI - Intermediate
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
Seeking an experienced Software Developer - ETL / Power BI to support enterprise data integration, ETL processes, and business intelligence initiatives. The successful candidate will…
Added 26 mins ago
EA
Senior Technical Consultant
Elios AI
Vancouver, BC
- Full-time
We're hiring a Senior Technical Consultant to own the integration side of source-to-pay transformations: designing how procurement platforms talk to ERPs, building the interfaces, and…
Added 26 mins ago
G
Technical Architect- Box Content Management
Galent
Toronto, ON
- Contract
Strong understanding of integration technologies, single sign-on, Enterprise Mobility Management, BYOK, Data Masking, Data Loss Prevention, and cloud solution architecture patterns
Added 26 mins ago
IS
Data Modeler
Iris Software Inc.
Toronto, ON
- Contract
Design, develop, and maintain conceptual, logical, and physical data models to support enterprise DataOps platform capabilities and business data requirements.
Added 26 mins ago
RI
Application Development Manager – Banking & Lending
Raas Infotek
Toronto, ON
- Contract
Drive Agile delivery across multiple squads while maintaining alignment with enterprise architecture, security, risk, and compliance requirements.
Added 26 mins ago
TC
Workday Software Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience: Extensive IT/SDLC experience, with significant hands-on Workday integration experience
Added 40 mins ago
V
Sr. Solutions Architect
VGS
Canada
- Full-time
…tangible business value, partnering with payment companies and enterprise merchants on complex challenges in global payment infrastructure, processor connectivity, credential portability,…
Added 40 mins ago
A
CCaaS Solution Architect - Amazon Connect
Accenture
Montreal, QC
- Full-time
Define integration strategies across CRM, workforce management, analytics, and enterprise backend systems
Added 40 mins ago
T
Sr. Manager IT Operations - Network Operations, Performance & Capacity, and Automation
TD
Mississauga, ON
- Full-time
…multiple disciplines. The incumbent is accountable for translating enterprise priorities into a coherent operational strategy, ensuring reliable service delivery, developing leaders and…
Added 55 mins ago
VS
Report Developer
vTech Solution Canada
Toronto, ON
- Contract
We are seeking a Data Engineer / Software Developer to support the design, development, and operation of enterprise data solutions on the Ontario Data Platform. The successful candidate…
Added 55 mins ago
SI
Salesforce Marketing Cloud- SFMC, BA
Smart IT Frame LLC
Mississauga, ON
- Contract
Work with APIs and integrations between Salesforce Marketing Cloud Salesforce CRM Data Cloud and other enterprise systems
Added 55 mins ago
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Salesforce Marketing Cloud(SFMC) Business Analyst /Solution Consultant
Galent
Mississauga, ON
- Contract
Work with APIs and integrations between Salesforce Marketing Cloud Salesforce CRM Data Cloud and other enterprise systems
Added 55 mins ago
AB
Director, Information Technology
Alberta Beverage Container Recycling Corporation
Calgary, AB
- Full-time
…business. As Director, Information technology (IT), you will own enterprise systems, cloud infrastructure, Microsoft 365, identity and access management, IT service management and IT…
Added 55 mins ago
A
Manager, Contracted Services
AGLC
AB · Edmonton, AB
- $104,810 to $144,114 CAD / year
- Temporary
…Corporate Operations, Finance, Procurement, Properties, Strategy, Enterprise Risk Management and Internal…
Added 56 mins ago
B
Senior Manager, T&O M&A, Strategic Initiatives
BMO
Toronto, ON · FCP
- Full-time
…transaction planning through close, Day 1, transition, separation/integration and post-close execution. The role works across Technology & Operations and key Enterprise functions to…
Added 56 mins ago
F
Manager, Information Security Risk
FCT
Oakville, ON
- Full-time
…governance, and oversight of information security risks across enterprise technology initiatives, with a primary focus on the secure adoption and enablement of Artificial Intelligence (AI)…
Added 1 hour ago
A
CCaaS Solution Architect - Amazon Connect
Accenture
Toronto, ON
- Full-time
Define integration strategies across CRM, workforce management, analytics, and enterprise backend systems
Added 1 hour ago
AC
Manager, Data and AI - AI Systems Integrations and Agentic technical owner
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines…
Added 1 hour ago
AJ
.NET Developer Intermediate (C#, Visual Studio MS-SQL Server) - Hybrid
ALL JANS
AB · Alberta, Canada
- Contract
5+ years of Experience working as an Application Developer in a large enterprise IT environment utilizing .net, Microsoft Visual Studio, and source control tools.
Added 1 hour ago
T
Full Stack Engineer
TechDoQuest
Montreal, QC
- Full-time
You will be a technically proficient and enthusiastic developer, with a desire to work on back-end application development.

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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