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Added 11 mins ago
HT
Engineering Team Leader (PET HR)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 42 mins ago
A
Salesforce Devops Lead
ATB
Calgary, AB · Edmonton, AB
- Full-time
Establish standardized deployment guardrails, quality gates, and automated release strategies to support predictable, high-frequency delivery.
Added 56 mins ago
Q
Director of Product & Strategy, CXM Flex
Quadient
Toronto, ON
- $221,600 to $332,400 CAD / year
- Full-time
This is a high‑impact role at the intersection of mature platform stewardship and modernization. This leader will lead a small, focused Product Management team, partner closely with R&D,…
Added 56 mins ago
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Sr. Salesforce Administrator/ Business Analyst
Recfront
Toronto, ON
- Contract
Understanding of Salesforce sandbox, testing, release-management, and deployment practices.
Added 56 mins ago
NV
Project Manager (ID#5557)
New Value Solutions
Richmond, BC
- Contract
New Value Solutions, a national IT consulting company, is seeking an experienced functional Project Manager to lead the design and implementation of complex, cross-functional business…
Added 56 mins ago
AC
Backend Software Developer
ATS Corporation
Cambridge, ON
- $36.54 to $50.24 CAD / hour
- Full-time
Perform software development including gathering user requirements, software design, programming, testing, and release. These can be mechatronics products requiring real-time controls,…
Added 1 hour ago
TC
M365 (Microsoft) – Tech Lead
Tata Consultancy Services
Vancouver, BC
- Full-time
Prepare technical design documents, SOPs, runbooks, deployment guides, release notes, knowledge articles, support handover documents and operational dashboards.
Added 1 hour ago
RI
Oracle PeopleSoft Financials Lead Consultant/PeopleSoft Admin
Raas Infotek
Mississauga, ON
- Contract
Coordinate release management activities and ensure successful deployments across environments.
Added 1 hour ago
MT
DevOps and Security Engineer
Martello Technologies
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
Build, test automation, release, and deployment
Added 1 hour ago
ET
AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
Our client, a large and well-established enterprise organization, is looking for a Senior Engineering Lead to oversee the continued development of its internal generative AI platform. The…
Added 1 hour ago
C
Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
Lead the design, development, deployment and operation of enterprise capabilities supporting generative AI, machine learning, enterprise search, conversational AI, AI agents and AI-enabled…
Added 1 hour ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
Lead the design, development, deployment and operation of enterprise capabilities supporting generative AI, machine learning, enterprise search, conversational AI, AI agents and AI-enabled…
Added 2 hours ago
O
Manager, Software Development
OpenText
Richmond Hill, ON
- Full-time
Own day-to-day execution across one or more Scrum teams and translate roadmap priorities into credible sprint and release plans.
Added 2 hours ago
TI
Application Release Engineer
Themesoft Inc.
Toronto, ON
- Contract
CI/CD Pipeline management – building and maintain pipeline that automatically test and deploy code from development, optimized for heavy engine builds
Added 3 hours ago
T
Non-Technical Publications Manager
Thales
Ottawa, ON
- Full-time
Lead and manage the day-to-day activities of the Non-Technical Publications Team.
Added 9 hours ago
Senior Manager Development, Treasury Technology
Scotiabank
Toronto, ON
Lead, mentor, and develop a high-performing team of technology professionals across development, support, integration, and delivery functions.
Added 13 hours ago
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Associate Principal Engineer -- Infor M3 Supply Chain Functional Solution Architect
Nagarro
Brampton, ON
- Full-time
The Solution Architect converts business requirements into cohesive, scalable, and supportable M3 designs; governs regional variation and customization; and guides analysts, developers,…
Added 16 hours ago
M
RQ00830 - Test Lead - Senior
Maarut
Toronto, ON
- Contract
…traceability, defect management, reporting, exit criteria, and release…
Added 20 hours ago
HT
Engineering Team Leader (PET HR)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 20 hours ago
C
Risk & Compliance Project Manager and Application Manager
Citi
Mississauga, ON
- Full-time
End-to-End Project Delivery: Lead complex regulatory technology and compliance integration initiatives from scoping, business case formulation, and milestone tracking to deployment and…
Added 1 day ago
OT
Lead Quality Assurance Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
The Lead Quality Assurance Engineer owns QA strategy, governance, reporting, and execution across enterprise programs. This role leads teams through integration, functional, regression,…
Added 1 day ago
A
Quality Assurance Lead
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next QA Lead you will have a unique opportunity to contribute to ATB through challenging, meaningful and diverse opportunities while creating happiness for our customers and each…
Added 1 day ago
C
Cloud Architecture and DevOps Lead – Telco Private Cloud
CGI
Toronto, ON
- Full-time
We are seeking an experienced Cloud Architecture and DevOps Lead to design and deliver a telecom grade private cloud platform. The role will lead the migration from VMware based…
Added 1 day ago
R
IT - Specialty Developer - Senior
Raise
Toronto, ON
- Full-time
DevOps Engineer responsible for DevOps engineering across Azure DevOps and GitHub Enterprise, including leadership of ADO to GHE migration initiatives. Serves as SME for deploying Azure…
Added 1 day ago
S
Software Engineering LMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Actively participate in the release and deployment process..

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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