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Added 6 mins ago
HQ
Applications Scientist, Structural Biology
High Q Technologies
ON · Ontario, Canada
- $80,000 to $110,000 CAD / year
- Full-time
You will also support customers who operate a FATHOM system in their own laboratory, helping them design experiments and interpret results.
Added 6 mins ago
SI
Java Developer
Smart IT Frame LLC
Mississauga, ON
- Full-time
…frontend and other services Collaborate with DevOps teams to support CICD pipelines and automate deployments Troubleshoot and resolve production issues to maintain high system availability…
Added 6 mins ago
KI
Digital Content Marketing Intern
Kat International Wellness
Toronto, ON · Greater Toronto Area, Canada
- Internship
…personalized coaching, nutrition, movement, and sustainable lifestyle…
Added 6 mins ago
AC
Financial Analyst
ATS Corporation
Cambridge, ON
- $64,000 to $88,000 CAD / year
- Full-time
…option, leading life sciences companies trust us to resolve their production…
Added 6 mins ago
I
Senior Technology Designer
Introba
Vancouver, BC
- Full-time
…audio distribution, conferencing, unified communications, and production or post-production is an asset, but not…
Added 6 mins ago
O
Account Manager, Client Services
Octacom
Hamilton, ON
- $75,000 to $85,000 CAD / year
- Full-time
…complex implementations and change initiatives, and direct Production and IT to deliver against client…
Added 6 mins ago
TC
Linux System Administrator
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…automation using Ansible, and working knowledge of IBM WebSphere Application Server (WAS).Key Responsibilities Administer, configure, maintain, and troubleshoot Linux servers in production…
Added 6 mins ago
W
BIM Coordinator
WalterFedy
AB · Edmonton, AB
- Full-time
…Digital Practice Manager on various projects, while providing support to our Architecture and Engineering disciplines, predominantly to our Mechanical Engineering production team as…
Added 22 mins ago
R
Network Operations Analyst
RBC
Toronto, ON
- Full-time
Coordinate with IT support teams and Disaster Recovery teams to develop, document, test, and continuously improve Data centre runbooks and recovery procedures.
Added 22 mins ago
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Admin Assistant II
Vale
Canada
- Full-time
…with global stakeholders while contributing to projects that support the responsible production of critical minerals essential for the energy…
Added 22 mins ago
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Director, Voisey's Bay Operations
Vale
Canada
- Full-time
The Director leads within the unique operating environment of Voisey’s Bay, balancing safety, production, cost, and long-term value with the challenges of a remote fly-in/fly-out operation,…
Added 36 mins ago
AA
Chef/Cheffe de Projets, Contrôle des Matières / Project Manager , Material Control
Airbus Aircraft
Montreal, QC
- Full-time
…of planning the movements of our transport teams, provides support for the creation and implementation of new processes as well as the management of certain critical items to our…
Added 36 mins ago
SQ
Team Lead, Billing & Payment Services
Sunlife Québec
Montreal, QC
- Full-time
Support operational planning, process improvement initiatives, budgeting activities, and day-to-day production needs as required.
Added 36 mins ago
AA
Detailer (Toronto Area)
Assured Automotive
Toronto, ON · Etobicoke, ON
- Full-time
The Detailer pre-washes vehicles prior to moving them into production, and cleans and details all assigned vehicles prior to final delivery to the customer. The position is also responsible…
Added 36 mins ago
CR
Manager HCM Applications Support
Chartwell Retirement Residences
Mississauga, ON
- Full-time
Experience managing application maintenance activities including patch reviews, release coordination, testing support, and production readiness
Added 36 mins ago
AA
Parts Coordinator (Toronto Area)
Assured Automotive
Toronto, ON · Etobicoke, ON
- Full-time
…and quality of parts received in a timely manner as per the production…
Added 36 mins ago
AC
Operations Coordinator
Aston Carter
Langley (District), BC · Langley, BC
- $21 to $24 CAD / hour
- Contract
Support purchasing activities by working through incoming orders and related documentation.
Added 36 mins ago
AC
SAP Data Archiving Developer
Alteris Consulting
Markham, ON
- Contract
Alteris Consulting is seeking an experienced SAP Data Archiving Developer to support enterprise data archiving, application retirement, and SAP transformation initiatives. This role…
Added 36 mins ago
TC
Linux System Administrator
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Support IBM WebSphere Application Server (WAS) administration, including deployments, service management, configuration, log analysis, and troubleshooting.
Added 36 mins ago
W
Epic Caboodle System Administrator / Realm Analyst
W3Global
Canada
- Full-time
Familiarity with Windows Server environments and enterprise application support.
Added 36 mins ago
SI
Java Backend Developer
Smart IT Frame LLC
Mississauga, ON
- Full-time
…frontend and other services Collaborate with DevOps teams to support CICD pipelines and automate deployments Troubleshoot and resolve production issues to maintain high system availability…
Added 36 mins ago
Q
Director of Product & Strategy, CXM Flex
Quadient
Toronto, ON
- $221,600 to $332,400 CAD / year
- Full-time
At Quadient, we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation…
Added 36 mins ago
S
Protocol Developer
Survalent
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Collaborate with developers, QC, Product Management, Support, Professional Services, and customers to deliver complete and reliable solutions.
Added 36 mins ago
MQ
Oracle Fusion ERP QA Consultant
Miipe Quality Solutions
Markham, ON
- $80,000 to $90,000 CAD / year
- Full-time
Support operational readiness activities and production releases.
Added 36 mins ago
SU
Intern, Steel Operations (4 Months)
Seaspan ULC
North Vancouver, BC
- Full-time
The Intern, Steel Operations will support the Steel Operations department in coordinating daily activities, tracking departmental performance, and supporting the successful execution of…

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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