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Added 12 mins ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 4 hours ago
O
Sr. Software Developer
OpenText
Richmond Hill, ON
- Full-time
The Senior Software Developer is a hands-on technical contributor and emerging technical lead who designs, develops, and supports Java and Spring Boot microservices running on Google Cloud…
Added 4 hours ago
A
InfraSec Project Manager
Affinity
Burnaby, BC
- Contract
Lead cross-functional teams spanning engineering, infrastructure, security, vendors, and business stakeholders
Added 9 hours ago
M
Senior CyberArk Security Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for an experienced Senior CyberArk Security Engineer to join our global Privileged Access Management (PAM) Engineering team and help strengthen the security, automation,…
Added 9 hours ago
OS
Technical Program Manager
Open Systems Technologies
Montreal, QC
- Contract
The Technical Program Manager will support the delivery of large‑scale security initiatives within the Cyber Security Organisation. This role partners with engineering, product, and…
Added 9 hours ago
ML
Senior Analyst Identity and Access Management
Maple Leaf Foods Inc.
Mississauga, ON
- $77,000 to $112,000 CAD / year
- Full-time
As the Senior Analyst Identity and Access Management, you will report to the IAM Manager and play a key role in maturing Maple Leaf Foods’ identity, privileged access management, and Zero…
Added 10 hours ago
C
Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
CoreFactor is searching for a Manager, AI Platforms on a permanent/full-time basis for a client in the GTA.
Added 10 hours ago
N
Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to the Senior Engineering Manager, who adopts a collaborative leadership style that encourages team involvement in decision-making and values open discussions. The manager…
Added 10 hours ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
CoreFactor is searching for a Manager, AI Platforms on a permanent/full-time basis for a client in the GTA.
Added 10 hours ago
O
Manager, Software Development
OpenText
Richmond Hill, ON
- 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 10 hours ago
SV
Senior Systems Administrator
SPIN VFX
Toronto, ON
- Full-time
This is a hands-on senior engineering role, not a maintenance role. You will take ownership of the systems that production runs on: storage, virtualization, identity, networking in…
Added 13 hours ago
TG
Senior Network Engineer
TMX Group
Toronto, ON
- Full-time
Reports to: Senior Manager, Network Engineering
Added 14 hours ago
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Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 15 hours ago
T
Sr. Business Systems Analyst Specialist, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Senior Business Systems Analyst to lead the Volcker regulatory reporting workstream within Market Risk Technology. This is a senior, hands-on role for…
Added 16 hours ago
C
Customer Success Manager, Public Sector & Defence
Cohere
Ottawa, ON
- $150,000 to $215,000 USD / year
- Full-time
Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, bilingualism, and ethical AI
Added 16 hours ago
Sr. Consultant - Cloud Infrastructure Architect | Conseiller senior – Architecte d'infrastructure infonuagique, Public Sector | secteur public
Amazon
Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Experience in a similar role such as technical account manager, consultant, solutions architect, platform engineer, systems engineer, cloud architect, or service delivery manager
Added 17 hours ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
…and financial priorities of Groupe médical Lacroix. Advise senior management on investments, risks, and key technological…
Added 18 hours ago
Senior Manager Development, Treasury Technology
Scotiabank
Toronto, ON
Partner with Architecture, Cloud Engineering, Infrastructure, Security, and Operations teams to deliver highly available and secure platforms.
Added 18 hours ago
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Senior SAP S/4HANA Basis Consultant
Addmore Group
Oshawa, ON
- Full-time
The Basis consultant is responsible for the technical integrity, performance and security of the SAP landscape. This role drives the installation, configuration, upgrading, and maintenance…
Added 19 hours ago
TG
Senior Network Engineer
TMX Group
Toronto, ON
- Full-time
Reports to: Senior Manager, Network Engineering
Added 20 hours ago
B
Senior Business Analyst, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
…teams, product owners, architects, developers, and quality engineering teams, you will leverage both traditional business analysis practices and AI-powered tools to accelerate delivery,…
Added 21 hours ago
CO
Job ID #32296: Manager, IT Infrastructure
City of Hamilton
Hamilton, ON
- Full-time
Reporting to the CISO and Director, IT Infrastructure, the Manager, IT Infrastructure provides strategic and operational leadership for the City’s enterprise infrastructure and…
Added 22 hours ago
N
Senior Security Developer
nesto
Canada
- Full-time
Experience in GCP specifically with one or more of the following services: Security Command Center, GKE, Cloud IDS, Cloud Armor, and Secrets Manager.
Added 22 hours ago
N
Senior Security Developer
nesto
Canada
- Full-time
We are looking for a Senior Security Developer to join our dynamic team. In this role, you will play a critical role in designing, implementing, and maintaining cloud security solutions to…
Added 1 day ago
Technical Solutions Development Manager, Workspace, Google Cloud
Google
Waterloo, ON
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security,…

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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