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Financial Analyst
Brunel
Montreal, QC
- $85,000 to $100,000 CAD / year
- Full-time
This is not a pure software development role. The environment is more focused on enterprise data platforms, data workflows, integrations, and operational support than custom application…
Added 5 mins ago
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Expert System Architecture
CN
Toronto, ON
- Full-time
Experience with technology modernization, lifecycle management, cloud and hybrid architecture, platform engineering, and automation
Added 5 mins ago
OS
Technical Program Manager
Open Systems Technologies
Montreal, QC
- Contract
Experience delivering complex technical programs within cloud, cybersecurity, infrastructure, risk, or software engineering environments.
Added 5 mins ago
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Senior Consultant - Platform Engineering
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Hands-on experience in software engineering and DevOps in production environments on at least one public cloud (AWS, GCP, Azure).
Added 5 mins ago
FI
Application Architect
Flexstaf I.T. Inc.
Toronto, ON
- Contract
Experience in the use of development tools, Computer Aided Software Engineering tools, information retrieval packages, and other software tools such as project management software and…
Added 5 mins ago
SM
Senior Project Manager
Solutions Metrix
Montreal, QC
- Full-time
You’ll lead several client engagements at once and own their scope, budget, schedule and quality. Clients, from executive sponsors to marketing and IT leads, will rely on you as their main…
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Mechanical Engineer
BPA
Vancouver, BC
- Full-time
BPA is more than an engineering firm - it’s a passionate team shaping the buildings and infrastructure of tomorrow. With offices across Canada, our expertise in sustainable design and…
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XS
Security Analyst / Engineer / Architect
XChange Software Inc
Mississauga, ON
- Contract
· Understands both technical application risk and the software delivery lifecycle.
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Software Engineer II
Beanfield
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We lead the way. We disrupt the industry by thinking differently, moving quickly, and taking ownership. We operate with a startup mentality and believe in building and investing in our own…
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C
Senior Full-Stack Engineer / Technical Lead - Onsite
Cognizant
Toronto, ON
- Full-time
We are looking for an experienced Senior Full-Stack Engineer / Technical Lead to design and develop scalable enterprise applications and cloud-native solutions. The ideal candidate will…
Added 5 mins ago
MT
DevOps and Security Engineer
Martello Technologies
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
…and driving vulnerability remediation. You’ll also supply the technical evidence behind our compliance…
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AS
Technical Program Manager
Axelon Services Corporation
Montreal, QC
- $75.86 USD / hour
- Other
Experience delivering complex technical programs within cloud, cybersecurity, infrastructure, risk, or software engineering environments.
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AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
AVP - Senior Engineering Lead, AI Software Engineering
Added 5 mins ago
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Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Wayfair is seeking a high-impact Machine Learning Scientist III to lead the research, technical strategy, and production deployment of next-generation Generative AI and agentic systems for…
Added 6 mins ago
ML
Senior Analyst Identity and Access Management
Maple Leaf Foods Inc.
Mississauga, ON
- $77,000 to $112,000 CAD / year
- Full-time
…access protection, and support secure access across a complex hybrid environment that includes corporate, cloud, and business-critical operational…
Added 20 mins ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
…is designed for someone who worked in technology, analytics, software, consulting, engineering, or business intelligence before completing an MBA or equivalent graduate…
Added 20 mins ago
DC
National Support Specialist, Real Property Management Services
Defence Construction Canada
Ottawa, ON
- Full-time
…goals. The National Support Specialist prepares general and technical resources that support DCC practitioners involved in portfolio management support, facility management, maintenance…
Added 50 mins ago
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Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
Collaborate with cross-functional teams to define business and technical requirements, establish reusable platform capabilities and integrate enterprise data, applications and third-party…
Added 50 mins ago
TP
Associate Director, Software Engineering
Toronto Pearson International Airport
Toronto, ON
- Full-time
Reporting to the Director, Technology Delivery, the Associate Director, Software Engineering will establish and lead a sustainable software engineering capability that delivers secure,…
Added 51 mins ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
Collaborate with cross-functional teams to define business and technical requirements, establish reusable platform capabilities and integrate enterprise data, applications and third-party…
Added 1 hour ago
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SAP Supply Chain Domain Architect
Talan
Toronto, ON · Montreal, Québec
- $170,000 to $200,000 CAD / year
- Full-time
Lead Supply Chain workstreams in digital discovery and readiness assessments, then present recommendations, estimates, assumptions, and trade-offs in workshops, proposals, and oral…
Added 1 hour ago
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Principal Program Manager- Identity & Trust
Remitly
Burnaby, BC
- Full-time
This is a high-impact, high-autonomy role for a principal program manager who thrives in ambiguity, can connect technical systems to regulatory intent, and builds clarity across product,…
Added 1 hour ago
M
Senior Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
You will work at the intersection of proven mainframe technology and modern software engineering, helping evolve critical applications through API integration, automation, DevOps practices,…
Added 2 hours ago
TT
Senior Contract Administrator (13907)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- $100,318.4 to $125,434.4 CAD / year
- Full-time
You will lead assigned contracts and the respective progress, analyze internal data, and prepare and provide status reports to management and project teams, as required.
Added 2 hours ago
TT
Senior Contract Administrator (13883)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- $100,318.4 to $125,434.4 CAD / year
- Full-time
You will lead assigned contracts and the respective progress, analyze internal data, and prepare and provide status reports to management and project teams, as required.

CoreFactor

Manager, AI Platforms (Permanent)

Toronto, ON, Canada

Full-time

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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.

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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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