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Added 14 mins ago
SC
Senior Manager – Environmental Design and Approvals
SYSTRA Canada
Toronto, ON
- Full-time
We are seeking highly motivated and enthusiastic candidates for the position of Environmental Design & Approvals Manager.
Added 14 mins ago
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Responsable principal(e), Opérations & Intégration des TI // IT Operations & Integration Lead
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- Full-time
🚀 Responsable principal(e), Opérations & Intégration des TI (IT Operations & Integration Lead)
Added 14 mins ago
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Application & Integration Technical Analyst
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- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 15 mins ago
M
Senior CyberArk Security Engineer
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- Full-time
…automation, resilience and reliability of our enterprise PAM…
Added 29 mins ago
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Design Engineering Manager, Integrated Automation & Control Solution
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- Full-time
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Added 29 mins ago
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Senior Manager – Systems Requirements
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- Full-time
The Senior Manager, Systems Engineering Management (Requirements) is responsible for leading requirements management activities across the GO Expansion program and ensuring effective…
Added 29 mins ago
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Senior Digital Product Manager
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- Contract
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Added 29 mins ago
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Senior Manager – Systems Assurance
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Added 29 mins ago
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Added 29 mins ago
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Senior Project Manager
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- Full-time
Senior Project Manager - Financial Services Digital Transformation
Added 29 mins ago
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Kubernetes Engineer (Container security and GKE focus)
Mehbooba
ON · Ontario, Canada
- Contract
Design, deploy and manage containerized environments using Kubernetes, GKE (Google Kubernetes Engine), AKS, or similar platform.
Added 29 mins ago
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Technical Program Manager
Mphasis
Toronto, ON
- Part-time
Ideal Candidate: A hands-on Technical Program Manager with strong banking and fintech domain expertise who can effectively bridge business and technology teams, drive complex integration…
Added 1 hour ago
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Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
Establish platform architecture, technical standards and reference patterns for generative AI, retrieval-augmented generation, enterprise search, AI agents, model integration and AI-enabled…
Added 1 hour ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
Establish platform architecture, technical standards and reference patterns for generative AI, retrieval-augmented generation, enterprise search, AI agents, model integration and AI-enabled…
Added 2 hours ago
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Manager, Software Development
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- Full-time
The Manager, Software Development leads the newly formed engineering team delivering the Image & Fax Aviator Platform. This first-line manager will recruit, onboard, coach, and directly…
Added 2 hours ago
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Information Technology - Senior Technical Product Manager/Product Manager, Omni Technology
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Added 3 hours ago
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Solutions Architect
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Create compelling presentations, architectural diagrams, integration concepts, and business cases
Added 3 hours ago
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Senior Manager, Process & Product
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- Full-time
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Added 4 hours ago
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Software Engineer II Full Stack (Branch Systems)
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- Full-time
Monitor application and platform health, identify recurring issues, and recommend improvements to reliability, performance, scalability, and operational efficiency.
Added 4 hours ago
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Site Reliability Engineer Lead
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You will lead a multidisciplinary engineering team consisting of cloud platform engineers, database platform engineers, DevOps engineers, and application infrastructure specialists. This…
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Senior Technology Project Manager, Group Functions Technology
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Working within Technology Business Management & Strategy in Group Functions Technology, the Senior Technology Project Manager will drive the successful delivery of strategic initiatives…
Added 4 hours ago
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Staff Software Developer, Simulation / Développeur(se) logiciel principal(e), Simulation
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Added 5 hours ago
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Project Manager II, Payments
TD
Toronto, ON
- Full-time
TD Securities is proud to offer a rewarding opportunity for a Project Manager in Payment Platform spaces. The candidate will be a significant contributor to a globally diverse team which is…
Added 5 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…

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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