Find work in Canada.

532,712 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
S
RF Test Engineer
Sanmina
Ottawa, ON
- Full-time
…vacancy. The hiring process for this position does not use Artificial Intelligence (AI). Sanmina welcomes and encourages applications from persons with disabilities.Â In accordance with the…
Added 12 mins ago
O
Electromechanical technician (Night shift) - St-Esprit
Olymel
Saint-Esprit, QC
- Full-time
We do not use artificial intelligence (AI) in our selection processes.
Added 12 mins ago
EC
MH & Addictions Clinician II - Trauma Program Temp FT
EHN Canada
Toronto, ON
- $42.14 to $49.06 CAD / hour
- Temporary
Artificial intelligence (AI) may be used to screen, assess, or select applicants for this position by analyzing application materials and generating recommendations to support human…
Added 12 mins ago
C
Expert System Architecture
CN
Toronto, ON
- Full-time
Knowledge of data architecture, analytics, artificial intelligence, and AI governance
Added 12 mins ago
TT
Contract Administrator (13884)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- $80,353 to $100,445.8 CAD / year
- Full-time
Added 12 mins ago
ES
Vice-président(e) exécutif(ve), Développement des affaires - Montréal | Executive Vice President, Business Development - Montrel
Equans Services Canada & US
Montreal, QC
- Full-time
Promote the integration of digital technologies, automation, artificial intelligence, and data-driven solutions into commercial strategies.
Added 12 mins ago
S
Principal Hardware Designer
Sanmina
Ottawa, ON
- Full-time
The hiring process for this position does not use Artificial Intelligence (AI
Added 12 mins ago
MI
Associate Director, Business Data Office, Client Data Team
MUFG Investor Services
Halifax, NS
- Full-time
We are committed to using Artificial Intelligence (AI) tools responsibly and being transparent about what we do to build trust and confidence. At MUFG Investor Services, we use AI tools to…
Added 12 mins ago
SQ
Program Manager, Canadian Shared Services
Sunlife Québec
Montreal, QC
- Full-time
Added 12 mins ago
SC
Senior to Principal Geotechnical Engineer
SRK Consulting
Quebec, QC
- Full-time
SRK uses Artificial Intelligence to support certain aspects of the recruitment process, however all selection and hiring decisions are made exclusively by the relevant hiring team.
Added 12 mins ago
VA
Manager, Technology Services (AI & Digital Governance)
Vancouver Airport Authority
Vancouver, BC
- Full-time
Added 12 mins ago
GM
Corporate Controller
Generation Mining
Toronto, ON
- Contract
Artificial intelligence is not used to screen, assess or select applicants for this position.
Added 12 mins ago
J
Senior Manager, Integrated Marketing
Jobgether
Canada
- $105,000 to $134,700 CAD / year
- Full-time
…coordinate campaign delivery. Using customer insights, market intelligence, competitive analysis, and performance data, you will recommend investments that maximize marketing impact. You…
Added 12 mins ago
AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- $82,000 to $124,000 USD / year
- Full-time
Master's degree completed or expected by May 2027 in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Computer Engineering, Software Engineering, Information…
Added 12 mins ago
LM
Software Engineer - CMS 330
Lockheed Martin
Halifax, NS
- $82,750 to $108,750 CAD / year
- Full-time
While Artificial Intelligence tools are available and continue to expand, it is expected that the software engineer can fulfill their roles and responsibilities without its availability; as…
Added 12 mins ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
Added 12 mins ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
While Artificial Intelligence (AI) tools are increasingly available to support software development, the successful candidate must demonstrate the technical proficiency and independent…
Added 12 mins ago
PC
Corporate Tax, Senior Manager
PwC Canada
Calgary, AB
- Full-time
The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during ou
Added 12 mins ago
SP
Cement Technical Sales Representative
Stubbe's Precast
ON · Ontario, Canada
- $80,000 to $120,000 CAD / year
- Full-time
Added 12 mins ago
SI
Conseiller(ère) principal(e) en gestion des actifs / Senior Advisor, Asset Management & Operational Efficiency
Systemex Industries Conseils
Montreal, QC
- Full-time
…strengthening governance, enhancing cybersecurity, and leveraging Artificial Intelligence (AI) to deliver greater value to our employees and…
Added 12 mins ago
LT
Copywriter
Leo Toronto
Toronto, ON · Greater Toronto Area, Canada
- $75,000 to $85,000 CAD / year
- Full-time
We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never…
Added 12 mins ago
SC
Coffee - Coffee Bar Server
Safeway Canada
Calgary, AB
- Full-time
We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on…
Added 12 mins ago
X
Territory Sales Manager
Xerxes
Concord, ON
- Full-time
…This job is vacant to fill a new position. Please note that artificial intelligence may have been used for screening, assessing, or selecting…
Added 12 mins ago
SA
Instructor, Autobody Technician
Southern Alberta Institute of Technology (SAIT)
Calgary, AB · Greater Calgary Metropolitan Area
- Temporary
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 12 mins ago
SA
Instructor, Heavy Equipment Technology
Southern Alberta Institute of Technology (SAIT)
Calgary, AB · Greater Calgary Metropolitan Area
- Temporary
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…

CoreFactor

Manager, AI Platforms (Permanent)

Toronto, ON, Canada

Full-time

Apply 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 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

Report this job