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Added 1 hour ago
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Gestionnaire principal.e, Processus et produit // Senior Manager, Process & Product
SSENSE
Montreal, QC
- Full-time
SSENSE is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury…
Added 3 hours ago
LI
Senior Product Manager
Lotus IT Solutions
Toronto, ON
- Contract
Use research, analytics, performance measures, and operational feedback to guide continuous improvement of the platform.
Added 3 hours ago
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Manager of UX Research
Jobgether
Canada
- $112,000 to $160,000 CAD / year
- Full-time
As Manager of UX Research, you will shape how users’ needs, behaviors, and experiences inform product strategy across a complex B2B SaaS platform. Combining hands-on qualitative and…
Added 4 hours ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
The Manager Policy and Risk Management is responsible for research and analysis, policy and procedures, and risk management.
Added 4 hours ago
M
Senior CyberArk Security Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for an experienced Senior CyberArk Security Engineer to join our global Privileged Access Management (PAM) Engineering team and help strengthen the security, automation,…
Added 4 hours ago
VA
Manager, Technology Services (AI & Digital Governance)
Vancouver Airport Authority
Vancouver, BC
- Full-time
Reporting to the Director, Data & AI, the Manager leads the responsible adoption and ongoing use of AI and digital tools across YVR. The role translates governance requirements into…
Added 4 hours ago
IC
Senior Digital Product Manager
iPartner Consulting
Toronto, ON
- Contract
We are seeking an experienced Senior Product Manager to lead product strategy, roadmap development, backlog prioritization, and delivery for an enterprise business services platform. The…
Added 4 hours ago
TH
Senior Manager, Finance
Teladoc Health Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Manager, Finance, is a hands-on strategic finance leader responsible for defining and supporting the broader Canadian Finance mandate, serving as a senior Finance partner within…
Added 4 hours ago
KE
Analyst/Associate
Kanin Energy
Calgary, AB
- Full-time
…market analysis to join our Calgary-based team. Reporting to the Manager, Corporate Development, this is a high-impact role for someone who wants to move from pure transaction execution…
Added 4 hours ago
T
Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:
Added 5 hours ago
C
Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
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…
Added 5 hours ago
OM
Account Manager, Social
Omnicom Media
Toronto, ON
- Full-time
As an Account Manager, Paid Social Activation, you will lead campaign execution and performance across key platforms including Meta, TikTok, Snapchat, LinkedIn, Reddit, and Pinterest,…
Added 5 hours ago
R
Senior Manager, Customer Success Operations
Ryan
Toronto, ON
- Full-time
This highly independent, hands-on role combines analytics, systems administration, process design, and cross-functional leadership. The Senior Manager owns key Customer Success operational…
Added 5 hours ago
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Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to the Senior Engineering Manager, who adopts a collaborative leadership style that encourages team involvement in decision-making and values open discussions. The manager…
Added 5 hours ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
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…
Added 6 hours ago
AC
Manager, Enterprise Data Platform & Governance
Air Canada Vacations
Montreal, QC
- Full-time
The Manager, Enterprise Data Platform & Governance will lead the team responsible for building, operating, scaling, and securing ACV’s core data infrastructure. In this role, you will be…
Added 7 hours ago
S
Senior Manager, Process & Product
SSENSE
Montreal, QC
- Full-time
As the Senior Manager, Process & Product, you will lead a specialized team responsible for shaping SSENSE’s Planning, Merchandising, and Creative platforms. Acting as the critical bridge…
Added 7 hours ago
M
Senior Technology Project Manager, Group Functions Technology
Manulife
Toronto, ON
- Full-time
Experience delivering Data & AI, Generative AI, automation, analytics, cloud or modern data-platform initiatives.
Added 8 hours ago
T
Manager, Compliance – Model and Data Governance
TD
Toronto, ON
- Full-time
The Manager, Compliance – Model and Data Governance is responsible for ensuring AI and data usage within TDS Compliance aligns with enterprise strategy and governance principles. The role…
Added 9 hours ago
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Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 10 hours ago
Senior Associate, Programmatic
WPP Media
Toronto, ON
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic…
Added 10 hours ago
T
Senior Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 10 hours ago
T
Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:
Added 10 hours ago
T
Audit Manager II ( Business Intelligence Engineering)
TD
Toronto, ON
- Full-time
The Audit Manager II, Business Intelligence Engineering is responsible for transforming audit and operational data into meaningful insights that support strategic decision making across…
Added 10 hours ago
T
Senior Manager, Treasury Data Integration
TD
Toronto, ON
- Full-time
The Senior Manager, Treasury Data Product & Liquidity Reporting will lead strategic data delivery initiatives supporting Treasury, Finance, liquidity reporting, and related regulatory and…

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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