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Added 4 mins ago
C
Expert System Architecture
CN
Toronto, ON
- Full-time
…collaborates with Solution Architects, Principal System Architects, engineering teams, and product teams to support successful delivery and technology modernization…
Added 4 mins ago
S
Planner
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Ottawa, ON
- Full-time
…the production cycle. Determines material requirements from engineering and production schedules. Coordinates the efficient movement of materials with purchasing, production and…
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S
Principal Hardware Designer
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- Full-time
The design engineering group provides complete end-to-end product development solutions to a variety of customers. These product solutions include development of test and measurement…
Added 4 mins ago
EV
Coordinator, Environment
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- $95,000 to $113,000 CAD / year
- Full-time
Reporting to the Lead, Environment, the Coordinator Environment, Systems is responsible for supporting and coordinating the execution of compliance, regulatory permitting, and internal…
Added 4 mins ago
SS
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Added 4 mins ago
IC
Software Engineer in Test
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Toronto, ON · Greater Toronto Area, Canada
- Contract
✅ 8+ years in software development and quality engineering, including 3+ years as a Lead/Principal SDET or QA Architect.
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- $102,750 to $134,750 USD / year
- Full-time
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SC
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- Full-time
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IG
Marine Power Electrical Engineer (P.Eng)
Insight Global
Canada
- Full-time
- 8-10+ years of electrical engineering experience
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Systems Assurance Director
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- Full-time
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Manager, Maintenance & Repair Operations
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Added 4 mins ago
SC
Senior Manager – Systems Assurance
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- Full-time
Lead the preparation and presentation of assurance cases to the System Review Panel (SRP), securing endorsement of assurance arguments and coordinating technical input from engineering…
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SAP Finance Domain Architect
Talan
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- $170,000 to $200,000 CAD / year
- Full-time
Lead Finance workstreams in digital discovery and readiness assessments, then present recommendations, estimates, assumptions, and trade-offs in workshops, proposals, and oral presentations.
Added 4 mins ago
SC
OCS Design Delivery – Senior Manager
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Toronto, ON
- Full-time
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Added 4 mins ago
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Lead (Chief) Satellite Systems Engineer
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- Full-time
…execution is a strong asset. This role requires strong systems engineering judgment, the ability to lead through ambiguity, and the communication discipline to align teams and stakeholders…
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Senior Facilities Manager
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Senior Staff Program Manager
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- Full-time
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Added 4 mins ago
K
Senior Staff Program Manager
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Toronto, ON
- Full-time
…plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT…
Added 5 mins ago
B
Mechanical Engineer
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Vancouver, BC
- Full-time
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Added 5 mins ago
AI
Nuclear Services Technologist
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- Full-time
…troubleshooting, managing spare parts, collaborating with client engineering and technical personnel, and testing and commissioning nuclear automated tooling. This may involve setting up…
Added 5 mins ago
MD
Project Engineer
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- Full-time
…proposal to commissioning? Want to be the person who brings engineering, suppliers, the shop floor, and the client…
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- Full-time
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Added 5 mins ago
SC
Director – East Harbor
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Toronto, ON
- Full-time
SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and…
Added 5 mins ago
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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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