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Added 11 mins ago
GH
Senior Proposal & Pursuit Specialist
Gow Hastings Architects
Toronto, ON
- Full-time
We provide full multidisciplinary design consulting services, integrating architecture, interior design, sustainable and accessible design with functional programming, spatial planning,…
Added 11 mins ago
T
Service Desk - System & Security Tier 2
TEEMA
Calgary, AB
- Full-time
Our client is a well-established Calgary-based managed services provider with a cybersecurity-first focus, supporting regulated businesses across legal, finance, oil and gas, medical and…
Added 11 mins ago
MK
ERP Integration & Transformation Lead
Moose Knuckles Canada
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an experienced ERP Integration & Transformation Lead to drive the evolution of our enterprise systems and business processes. This is a highly collaborative, hands-on…
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Sales Director
Vigorate
Toronto, ON
- Full-time
…measurable business value. You will serve as the primary commercial lead throughout the customer lifecycle, from opportunity development and onboarding through long-term account…
Added 11 mins ago
OS
Technical Program Manager
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- Contract
Lead and facilitate large program planning activities to align objectives, timelines, and deliverables across initiatives.
Added 11 mins ago
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MaAnalytics, GWM -nager, CWM
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Added 11 mins ago
SF
Senior AI Engineer
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- Full-time
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Added 11 mins ago
LM
Senior Software Engineer - Product Lead - ISS Team
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- $102,750 to $134,750 USD / year
- Full-time
…matter expert who combines hands-on software development with team leadership and mentorship. In this role, the successful candidate will guide project execution while supporting the…
Added 11 mins ago
ND
Office Assistant - FTR - Burnaby - Onsite 1
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Burnaby, BC
- Temporary
No project/team lead or training responsibilities.
Added 11 mins ago
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Senior Consultant - Platform Engineering
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered…
Added 11 mins ago
FI
Application Architect
Flexstaf I.T. Inc.
Toronto, ON
- Contract
Practical experience in at least one of current architecture tools e.g. EA Sparx, Archi or similar with the modeling experience with Archimate and/or UML in a team environment
Added 11 mins ago
RP
Microsoft 365 Specialist - SharePoint, Teams
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Hands-on expertise in cloud computing, especially Microsoft 365 and Azure-based services, including security, compliance, and identity management fundamentals.
Added 11 mins ago
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IAM Advisor
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- Full-time
Recommend remediation solutions and validate baseline security configurations for operating systems, directory services, and cloud identity platforms.
Added 12 mins ago
AC
Telephony and Mobility Administrator
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Markham, ON
- Full-time
The ideal candidate combines hands-on technical expertise in Microsoft Teams Phone and carrier services with strong process discipline, financial acumen and the ability to translate usage…
Added 12 mins ago
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NL · Newfoundland and Labrador, Canada
- Full-time
…infrastructure, wireless networks, telecommunications systems, cloud connectivity, and associated communications technologies across Vale Base Metals. This includes routing and switching,…
Added 12 mins ago
M
Lead Software Engineer
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- Full-time
…designing, building, deploying, scaling, and maintaining modern, cloud-based production services, with knowledge of service-oriented…
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C
Manager, Data Platforms (Permanent)
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Toronto, ON
- Full-time
…scalable and governed use of enterprise data across Hydro One. Lead the planning, design, delivery, operation and continuous improvement of enterprise data platforms, including Snowflake,…
Added 12 mins ago
C
Senior Full-Stack Engineer / Technical Lead - Onsite
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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 12 mins ago
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DevOps and Security Engineer
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Own CI/CD pipelines, build infrastructure, & release automation covering cloud-hosted and on-premises delivery
Added 12 mins ago
B
Team Lead, Integration
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Added 12 mins ago
AS
Technical Program Manager
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- $75.86 USD / hour
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Lead and facilitate large program planning activities to align objectives, timelines, and deliverables across initiatives.
Added 12 mins ago
O
Staff FullStack Engineer, Secures AI
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Toronto, ON
- $160,000 to $220,000 CAD / year
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Added 12 mins ago
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Director of Information Technology
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Added 12 mins ago
O
Staff FullStack Engineer, Secures AI
Okta
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- $160,000 to $220,000 CAD / year
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Added 12 mins ago
O
Staff FullStack Engineer, Secures AI
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Kitchener, ON
- $160,000 to $220,000 CAD / year
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Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS

CoreFactor Inc.

Manager, AI Platforms (Permanent)

Toronto, ON, Canada
Downtown Toronto (Ryerson), ON, Canada

Full-time

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Job details

Job type: Full-time
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

The Manager, AI Platforms will develop and execute an enterprise AI strategy while leading the design, delivery, and operation of scalable AI and data platforms. This role involves collaborating with cross-functional teams to establish governance, engineering standards, and cost-management practices for AI technologies.

Requirements

Candidates must possess an undergraduate degree in a relevant field and 8-10+ years of progressive experience in technology leadership, specifically within AI, data, or cloud environments. Strong expertise in modern AI architectures, enterprise platforms like Snowflake and Azure, and the ability to influence senior stakeholders are essential.

Skills

Artificial Intelligence
Generative AI
Machine Learning
Enterprise Architecture
Cloud Architecture
Data Governance
Snowflake
Microsoft Azure AI
Microsoft Copilot
Retrieval-Augmented Generation
AI Governance
Cybersecurity
Identity and Access Management
Strategic Planning
Stakeholder Management
Team Leadership

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Machine Learning
Enterprise Search
AI Agents
Snowflake
Microsoft Azure AI
Microsoft Copilot
Retrieval-Augmented Generation
Prompt Orchestration
Cloud Infrastructure
Cybersecurity
Data Governance
Responsible AI
Infrastructure as Code
CI/CD
API
Identity and Access Management
Financial Operations
Energy and Utilities
Strategic Planning
Platform Engineering
Architecture
Leadership
Stakeholder Management

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