Jobs in Canada

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Added 12 days ago
AC
Data Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
…structures, and reusable transformation services using SQL, Python, Azure Data Factory, and Fabric as applicable. Apply approved architecture patterns, modular design, metadata-driven…
Added 12 days ago
B
Team Lead, Integration
BRP
Sherbrooke, QC
- Full-time
Hands-on familiarity with cloud integration platforms (GCP, AWS, or Microsoft Azure) considered a strong asset.
Added 12 days ago
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Solutions Engineer
EXFO
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
EXFO est à la recherche d'un(e) Développeur(euse) logiciel – Services professionnels et DevOps/SRE pour contribuer au développement, à l'intégration et à l'évolution de sa plateforme SaaS.
Added 12 days ago
E
Solutions Engineer
EXFO
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
EXFO est à la recherche d'un(e) Développeur(euse) logiciel – Services professionnels et DevOps/SRE pour contribuer au développement, à l'intégration et à l'évolution de sa plateforme SaaS.
Added 12 days ago
TC
Director of Information Technology
Taproot Community Support Services
Langley (District), BC · Langley, BC
- Full-time
Strong experience with Microsoft 365 and Azure, including SharePoint Online, and with system integration and data migration.
Added 12 days ago
JG
Angular Developer
J&M Group
Montreal, QC
- Contract
Strong understanding of REST APIs, JSON, and API integration.
Added 12 days ago
DI
Full Stack Developer(Angular)
Dawn InfoTek
Toronto, ON
- Contract
We’re looking for Full Stack Developer to join our team and work on modern, scalable applications across both frontend and backend technologies. If you’re passionate about building…
Added 12 days ago
MS
Senior Software Quality Assurance Specialist
MSZ Systems
Toronto, ON
- Contract
The ideal candidate will have extensive experience in enterprise QA, test planning, test automation, Microsoft Azure, accessibility compliance, and Ontario Government applications.
Added 12 days ago
FI
Angular Developer
Flexstaf I.T. Inc.
Montreal, QC
- Contract
Experienced Angular Developer responsible for designing, developing, and maintaining responsive, scalable, and high-performance web applications using modern Angular frameworks and…
Added 12 days ago
T
Senior Business Analyst – Application Modernization
ThoughtStorm
St. John's, NL
- Contract
🔹 Support system integration, reporting requirements, change management, and user training.
Added 12 days ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
Familiarity with cloud platforms such as AWS, Azure or GCP.
Added 12 days ago
Y
Business Systems Analyst - AI Delivery
Yochana
Brampton, ON
- Contract
Support system integration testing, user acceptance testing (UAT), and AI solution validation.
Added 12 days ago
T
Technical Lead AI Delivery
TechDoQuest
Brampton, ON
- Contract
…Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will work closely with business stakeholders, solution architects, vendors, security…
Added 12 days ago
C
Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
This position is hybrid and will require the successful incumbent to be in the office two (2) days per week
Added 12 days ago
Y
Technical Lead - AI Delivery
Yochana
Brampton, ON
- Contract
…Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will work closely with business stakeholders, solution architects, vendors, security…
Added 12 days ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
This position is hybrid and will require the successful incumbent to be in the office two (2) days per week
Added 12 days ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
Location: Toronto, ON-Hybrid(4 Days In Office)
Added 12 days ago
P/
Microsoft Dynamics Developer
PrecisionERP / PrecisionIT
Mississauga, ON
- Full-time
MS Dynamics Developer – Permanent Opportunity
Added 12 days ago
AC
Manager, Enterprise Data Platform & Governance
Air Canada Vacations
Montreal, QC
- Full-time
Hybrid work model: Corporate Mandate of 4 days in office (Tuesday, Wednesday, Thursday + 4th day of your choice) and 1 day from home
Added 12 days ago
E
DevOps - Spécialiste Solution / DevOps - Solution Engineer
EXFO
Montreal, QC
- Full-time
EXFO est à la recherche d'un(e) Développeur(euse) logiciel – Services professionnels et DevOps/SRE pour contribuer au développement, à l'intégration et à l'évolution de sa plateforme SaaS.
Added 12 days ago
R
Senior Software Developer, Workday Integrations & Extend
RBC
Toronto, ON
- Full-time
As a Senior Software Developer, Workday Integrations & Extend, you will lead the technical design, development, and implementation of Workday solutions to meet complex HCM program…
Added 12 days ago
T
Site Reliability Engineer Lead
TD
Toronto, ON
- Full-time
Experience designing or operating Microsoft Azure or AWS platform services.
Added 12 days ago
T
Software Developer
Thales
Ottawa, ON
- Full-time
…with practical experience in data processing and enterprise integration. Solutions may interact with files, databases, APIs, message queues, engineering applications, and other enterprise…
Added 12 days ago
SAP SuccessFactors Learning Lead - Senior Consultant / Manager
EY
Edmonton, AB · AB · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Waterloo, ON · Calgary, AB
Advise on best practices for LMS governance, compliance, and integration with other HR systems and third-party applications.
Added 12 days ago
M
Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
Identify application, data, integration, security, architecture, operational, and governance dependencies early in the engagement.

CoreFactor

Manager, AI Platforms (Permanent)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 28, 2026
Experience: 8–10+ years of progressive technology experience, including leadership experience in AI, data, cloud or enterprise platform environments.
Posting language: English
Posted: Oct 29, 2026

Original job description

CoreFactor is searching for a Manager, AI Platforms on a permanent/full-time basis for a client in the GTA.

This position is hybrid and will require the successful incumbent to be in the office two (2) days per week.

Purpose

Develop, execute and maintain a comprehensive enterprise AI platform strategy and capabilities to support the secure, scalable and responsible adoption of artificial intelligence across the organziation. Lead the planning, design, delivery, operation and continuous improvement of enterprise AI and data platforms, including generative AI, machine learning, enterprise search, AI agents and AI-enabled applications.
Collaborate with cross-functional teams to define business and technical requirements, establish reusable platform capabilities and integrate enterprise data, applications and third-party AI services. Provide leadership in establishing AI platform standards, governance controls, engineering practices, operational processes, performance measures and organization-wide adoption of approved AI technologies.
The role will lead a multidisciplinary team and work closely with Enterprise Architecture, Cybersecurity, Data Governance, Privacy, Infrastructure, business technology teams and external delivery partners to ensure AI platforms are secure, reliable, governed, cost-effective and aligned with business objectives.

Duties and Responsibilities

Develop, execute and maintain a complete enterprise AI platform strategy and roadmap to support artificial intelligence, generative AI, machine learning and advanced data capabilities across the organization.
Partner with cross-functional stakeholders to scope AI platform requirements and build secure, scalable and reusable solutions addressing business and technology needs.
Establish platform architecture, technical standards and reference patterns for generative AI, retrieval-augmented generation, enterprise search, AI agents, model integration and AI-enabled applications.
Facilitate, educate and promote the usage and adoption of approved AI platforms, tools, processes and procedures through formal training, continual coaching and consultation.
Manage, support and develop AI platform and data services staff while promoting technical growth, accountability and engineering excellence.
Coordinate AI platform planning and delivery across internal employees, contractors, strategic vendors and system integration partners.
Establish platform priorities, delivery roadmaps, performance measures and service expectations aligned with enterprise objectives.
Guide and facilitate the resolution of platform, integration, performance, security and operational issues.
Provide leadership on AI platform best practices and partner with business and technology teams to evaluate platform capability and adoption needs.
Communicate AI platform strategy, standards, procedures, roadmaps and approved technology patterns across the organization.
Enforce compliance with internal architecture, cybersecurity, privacy, data governance, Responsible AI and technology management policies and procedures.

Develop and Operate Enterprise AI Platforms

Lead the design, development, deployment and operation of enterprise capabilities supporting generative AI, machine learning, enterprise search, conversational AI, AI agents and AI-enabled applications.
Lead the evolution and operational management of enterprise data and AI platforms, including Snowflake, Microsoft Azure AI, Microsoft Copilot and related services.
Define reusable platform services and integration patterns for connecting enterprise applications, data platforms, APIs, AI models and approved third-party AI providers.
Establish capabilities for large language model integration, retrieval-augmented generation, prompt orchestration, model routing, enterprise grounding and response validation.
Enable secure and governed access to enterprise information while preserving platform-native identity, authorization and data-access controls.
Guide experimentation, proofs of concept and pilot solutions through appropriate processes toward secure and supportable production deployment.
Promote reuse of common platform capabilities and approved patterns to reduce duplication, technology proliferation and isolated AI solutions.
Monitor emerging AI technologies and recommend their appropriate use based on business value, security, architectural alignment, operational readiness and total cost.

Platform Consumption and Cost Management

Establish cost-management and financial operations practices for enterprise AI, cloud and data platforms.
Monitor and optimize Snowflake consumption, cloud infrastructure usage, AI model consumption, licensing and third-party service costs.
Develop demand, capacity and cost forecasts to support platform investment and budget decisions.
Establish reporting and controls to identify unexpected consumption, inefficient workloads and cost-optimization opportunities.
Evaluate licensing, consumption and commercial models for strategic AI and data-platform technologies.
Partner with Procurement, Finance, vendors and technology stakeholders to support contract planning, renewals and platform investment decisions.

Platform Architecture and Engineering

Support and collaborate with Enterprise Architecture and other technology teams to define the structures, services and integration patterns required to support enterprise AI workloads.
Establish engineering standards for application programming interfaces, model integration, data retrieval, orchestration, identity and access management, logging and monitoring.
Establish platform engineering practices including infrastructure as code, continuous integration and continuous deployment, automated testing, environment management and release management.
Define development, test and production environment strategies supporting secure and controlled AI solution delivery.
Guide technical teams in developing scalable, maintainable and supportable AI platform components.
Ensure platform architecture supports interoperability with enterprise applications, Snowflake, Microsoft technologies, data services and approved external AI providers.
Maintain technical roadmaps and support architecture decisions concerning platform selection, capability development, integration and technology lifecycle.

Requirements

Undergraduate degree in Artificial Intelligence, Computer Science, Engineering, Data Science, Information Systems or a related field, or equivalent relevant experience.
8–10+ years of progressive technology experience, including leadership experience in AI, data, cloud or enterprise platform environments.
Strong understanding of modern AI technologies and architectures, including generative AI, large language models, RAG, AI agents and enterprise AI solutions.
Experience with enterprise data and AI platforms such as Snowflake, Microsoft Azure AI, Microsoft Copilot or comparable technologies.
Strong understanding of cloud architecture, integration, cybersecurity, identity and access management, AI governance and Responsible AI practices.
Demonstrated experience leading technical teams and managing internal resources, contractors, vendors and strategic delivery partners.
Strong strategic thinking and ability to translate business requirements into scalable enterprise technology capabilities and roadmaps.
Excellent communication, stakeholder management and problem-solving skills, with the ability to influence senior business and technology leaders.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the strategy, architecture, delivery, operation, and continuous improvement of secure, scalable enterprise AI and data platforms, including generative AI, machine learning, enterprise search, and AI agents. Manage a multidisciplinary team and coordinate with business, technology, security, governance, finance, and external partners to establish standards, support adoption, resolve operational issues, and manage platform costs.

Requirements

Requires an undergraduate degree in a relevant field or equivalent experience, along with 8–10+ years of progressive technology experience and leadership in AI, data, cloud, or enterprise platforms. Candidates should have strong knowledge of generative AI, LLMs, RAG, AI agents, enterprise platforms, cloud architecture, cybersecurity, AI governance, and experience leading teams and delivery partners.

Skills

AI Platform Strategy
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Machine Learning
Snowflake
Microsoft Azure AI
Microsoft Copilot
Cloud Architecture
AI Governance
Responsible AI
Cybersecurity
Identity and Access Management
Platform Engineering
Team Leadership

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI Platforms
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
AI Agents
Enterprise Search
Snowflake
Microsoft Azure AI
Microsoft Copilot
Cloud Architecture
AI Governance
Responsible AI
Cybersecurity
Identity and Access Management
Data Governance
Prompt Orchestration
Model Routing
Enterprise Grounding
Response Validation
Platform Engineering
Infrastructure as Code
Continuous Integration
Continuous Deployment
Automated Testing
Cost Management
Vendor Management
Architecture Standards
API Integration
Oil and Gas

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Jobs in Canada