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Ingénierie - Conception des lois de commande de vol-Engineering -Flight Control Laws Design
Cyient
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
…envelope protection requirements, performance requirements, test pilot assessments and aircraft level…
Added 2 mins ago
IG
Network Operations Engineer
Insight Global
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Build and maintain CI/CD and delivery tooling to standardize build, test, release workflows and engineering artifact management
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Frontend Engineer - Dedicated Inference
Baseten
Montreal, QC
- $190,000 to $300,000 USD / year
- Full-time
Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows
Added 2 mins ago
MN
Client Data Analyst II
Mosaic North America
Toronto, ON
- Full-time
Experience designing and analyzing experiments, including A/B testing, test/control methodologies, multivariate testing, or other research designs.
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A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
…work closely with a collaborative engineering team to execute test protocols, diagnose hardware issues, and contribute to PCB design and development activities for innovative medical…
Added 2 mins ago
MN
Client Data Analyst II
Mosaic North America
Mississauga, ON
- Full-time
Experience designing and analyzing experiments, including A/B testing, test/control methodologies, multivariate testing, or other research designs.
Added 2 mins ago
B
Frontend Engineer - Dedicated Inference
Baseten
Toronto, ON
- $190,000 to $300,000 USD / year
- Full-time
Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows
Added 2 mins ago
A
Technical Documentation & BOM Specialist
Actalent
Ottawa, ON
- $30 to $50 CAD / hour
- Contract
…responsible for inspecting, documenting, and managing components in test stations, ensuring accurate bills of materials and supporting new product…
Added 2 mins ago
RM
RN Registered Nurse
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
- Part-time
…their mother and family, and will only leave their mother if a test needs to be done or if there is a clinical need to more closely observe the…
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Analyste d'affaires Finance
FOP Consultants
Quebec, QC
- Full-time
Prepare and execute functional and integrated test cases (system integration testing and user acceptance testing)
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SAP Financial Consultant
PIXIE
Montreal, QC
- Contract
Prepare and execute UAT activities, including test scenarios, test data, defect follow-up, and business validation.
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RQ11819 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Experience in design, code, test, debug and document
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RQ11731 - Business Analyst - Senior
Maarut
Toronto, ON
- Contract
Support test planning, defect triage, business acceptance
Added 17 mins ago
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Archaeology Field Technician II
WSP in Canada
London, ON
- Full-time
…Field Supervisor, including Stage 2 surveys (field walking and test pitting); Stage 3 site-specific assessments; and Stage 4…
Added 17 mins ago
Sr. Network Designer
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Brampton, ON · Toronto, ON
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Added 31 mins ago
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VP Aviation & Chief Pilot
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AB · Edmonton, AB
- Full-time
Fly operational and test missions as Pilot in Command when the schedule needs it.
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FSQA Manager - Contract
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Winnipeg, MB
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Accountable for hold and release activities related to pathogens test programs, non-conformance situations, etc.
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Bilingual Operations Officer I - #26-27365
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Montreal, QC
- Contract
…environments. Soft skills are extremely important, and interviews will test their soft skills as shared in the job description below. They should be a collaborative team player who can…
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Quality Specialist I (Afternoon Shift)
Integra
Harrow, ON
- Full-time
Added 31 mins ago
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Technician (Full Time)
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- $18.5 CAD / hour
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training program, you will learn to change oil, check and refill fluids, rotate tires, test and replace batteries, inspect
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Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Contribute to bug tracking, test prioritization, test automation, and release validation.
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Junior / Intermediate Piping Drafter – 2D
Bluestar Engineering Ltd.
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Knowledge of upstream oil and gas production projects – single/multiwell batteries, test satellites, pipeline gathering systems, oil storage batteries, etc.
Added 32 mins ago
Lead Security Project Technician- Calgary
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Calgary, AB
Complete assigned commissioning and test reports
Added 32 mins ago
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Registered Nurse - (Temporary Part-Time) CVH Pre Renal Trans
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Monitor test results and follow up with specialists, providers, and laboratories when results are missing.
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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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