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Expert System Architecture
CN
Toronto, ON
- Full-time
Enterprise network architecture, including LAN, WAN, SD-WAN, campus, data center, and cloud networking.
Added 12 mins ago
AS
Design Engineering Manager, Integrated Automation & Control Solution
Arrow Speed Controls
Richmond, BC
- Full-time
…technologies, including predictive maintenance for VFDs, smart-MCC data analytics, and secure cross-site SCADA/cloud…
Added 12 mins ago
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Bilingual IVR Automation Tester (French & English) || Fulltime || Toronto, ON
AceStack
Toronto, ON
- Full-time
Test inbound call routing, agent handoffs, and interaction context/data transfer across Genesys Cloud CX or similar CCaaS platforms.
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MK
ERP Integration & Transformation Lead
Moose Knuckles Canada
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…hands-on role that combines ERP expertise, systems integration, data, and business…
Added 12 mins ago
IG
Business System Analyst
IMCS Group
ON · Ontario, Canada
- Contract
We are seeking an experienced BSA TSBI professional with strong expertise in business analysis, SQL development, data modelling, data analysis, and source-to-target data mapping. The role…
Added 12 mins ago
TC
Big Data Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Build and maintain robust big data processing solutions using Apache Spark, Scala, and Java. Develop scalable applications to process large datasets and support enterprise data and…
Added 12 mins ago
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Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
…reinsurers, MGAs and brokers turn complex, unstructured insurance data into structured information, automated workflows and better…
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AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- $82,000 to $124,000 USD / year
- Full-time
…AI, AI-powered cybersecurity solutions, application security, cloud security, automation, and secure software development…
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SW
MaAnalytics, GWM -nager, CWM
Scotia Wealth Management
Toronto, ON
- Full-time
Knowledge of modern data platforms and cloud-based analytics environments.
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Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
Design and implement RAG architectures, retrieval and indexing pipelines, and the data access patterns agents depend on.
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Account Representative (Incented Sales Rep) Directwest
SaskTel
Regina, SK
- Full-time
…makers, timelines, specific qualifications, and enters the data accurately and consistently into CRM and other tracking…
Added 12 mins ago
TG
Stage d'été – Développeur-analyste ou développeuse-analyste, Stratégie et perspectives sur le marché
TMX Group
Toronto, ON
- Full-time
…creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well…
Added 12 mins ago
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SAP Finance Domain Architect
Talan
Toronto, ON
- $170,000 to $200,000 CAD / year
- Full-time
Finance expertise: Expertise in universal journal and the SAP S/4HANA Finance data model, Group Reporting or a comparable consolidation tool, SAP Analytics Cloud Planning, product costing,…
Added 12 mins ago
FI
Application Architect
Flexstaf I.T. Inc.
Toronto, ON
- Contract
Experience in the use of data and process modelling methodologies, techniques and tools, including a working knowledge of metadata structures, repository functions, and data dictionaries
Added 12 mins ago
CE
Configuration Management Specialist
Capgemini Engineering
Montreal, QC
- Full-time
…matter expert supporting configuration governance, engineering data management, PLM processes, and continuous improvement initiatives across multiple aerospace…
Added 12 mins ago
AI
Salesforce Technical Lead - Financial Services Cloud
Avanciers Inc.
Montreal, QC
- Contract
Avanciers Incorporated is hiring a [Salesforce Technical Lead - Financial Services Cloud ] for one of our clients.
Added 13 mins ago
AC
Telephony and Mobility Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
…assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and…
Added 13 mins ago
2I
Data Scientist/Data Engineer
2iSolutions Inc.
Toronto, ON
- Contract
Requisition Title: RQ11753 - Data Analytical Specialist/Scientist - Senior
Added 13 mins ago
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Murex DevOps Jun/Mid - Murex Collocated Pool
Luxoft
Toronto, ON
- Full-time
…secure, and scalable delivery of the MX platform across SaaS, cloud, and on-premises…
Added 13 mins ago
IG
Solutions Architect
Insight Global
Calgary, AB
- $80 to $100 CAD / hour
- Contract
Broad experience across enterprise applications, SaaS technologies, integrations/APIs, data, security/IAM, and cloud.
Added 13 mins ago
PR
Specialist - Intermediate Server Infrastructure
Peel Regional Police
Brampton, ON
- Temporary
As a Specialist – Intermediate Server Infrastructure within our ITS Infrastructure and Data Operations Department, you will be responsible for assisting in the implementation, and…
Added 13 mins ago
O
Application Support Technician
Octacom
Hamilton, ON
- Full-time
Octacom, a division of DCM, is an enterprise software and services company focused on document and data management solutions. Octacom specializes in document management and workflow…
Added 13 mins ago
SG
Programmer Analyst - Java and PL/SQL
Societe Generale
Montreal, QC
- Full-time
…agile transformation delivered, spreading the technology and data culture, shortening the decision-making process, and adopting a true industrial approach, leveraging on different teams…
Added 13 mins ago
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Lead Software Engineer
Mphasis
Toronto, ON
- Full-time
…designing, building, deploying, scaling, and maintaining modern, cloud-based production services, with knowledge of service-oriented…
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O
Sr. Software Developer (Bilingual)
OpenText
Richmond Hill, ON
- Full-time
We are looking for a Senior Backend Software Developer to join our development team at OpenText. Our team builds and evolves a public, multi-tenant Software-as-a-Service (SaaS) cloud…

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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