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Added 7 mins ago
A
Architecte IA et données
Astek
Toronto, ON
- Full-time
Added 7 mins ago
S
Lead, Learning & Development - Support (Canada , Americas)
Shopify
Canada
- Full-time
Added 7 mins ago
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Senior Platform Engineer
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- Full-time
Own and execute the AWS account split - separating production, staging, and development into clean isolated environments
Added 10 mins ago
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Commercial Finance Manager, Canada
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Mississauga, ON
- Full-time
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BI
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- Full-time
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Own and execute the AWS account split - separating production, staging, and development into clean isolated environments
Added 10 mins ago
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Mechanical Engineer
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Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
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E
Product Structural-Mechanical Engineer
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Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
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Added 11 mins ago
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(CAN) Senior Manager, Data Analytics
Walmart Canada
Mississauga, ON
- Full-time
Lead the development of actionable analytics, reporting, and decision-support products that improve sales, margin, customer experience, and operational performance.
Added 11 mins ago
WC
Senior Analyst, Finance
Walmart Canada
Mississauga, ON
- Full-time
Lead annual budgets, forecasts, and long-range plans, aligning targets with market dynamics, historical performance, and planned capital and operating investments.
Added 11 mins ago
DG
HR Business Partner
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Mississauga, ON
- Full-time
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Added 11 mins ago
XP
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Oakville, ON
- Full-time
The Business Development & Alliance Manager has responsibility to oversee the formation of business partnerships and partner-relationship management and the execution of strategies to…
Added 11 mins ago
EC
Event Operations Manager, Toronto
Encore Canada
Toronto, ON
- Full-time
…customer service, staff leadership, performance management, and development. Achieves the overall goals of the organization through effective workforce and inventory cost control. This…
Added 11 mins ago
A
RevOps Specialist | Spécialiste, Opérations des revenus
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- Full-time
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Added 12 mins ago
Parts and Accessories Business Development Consultant
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Ajax, ON
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Canada
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Added 12 mins ago
Financial Systems Analyst
PCL Construction
Edmonton, AB
…success, and that shared commitment drives how we work, grow and lead in the construction…
Added 22 mins ago
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Event Manager
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Remote, Canada
- $75,000 to $90,000 CAD / year
- Full-time
- Remote
While the core of this role is hands-on event execution, partnership development, and lead generation, we are open to considering candidates at a Senior Manager level who bring substantial…
Added 22 mins ago
CP
Senior Project Manager - Defense Sector
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- Full-time
…operations to help clients navigate complex capital projects. - Lead account management, RFP responses, and proposal development, building lasting relationships and delivering solutions…
Added 39 mins ago
NT
Corporate Controller
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Burnaby, BC
- $170,000 to $190,000 CAD / year
- Full-time
Cost Accounting: Lead the strategy for standard costing, WIP tracking, and inventory management for our complex robotics hardware.
Added 39 mins ago
D
Designer, Social Media
Deel
Canada
- Full-time
We're looking for a creative to lead how that brand shows up on social. Someone who is equal parts designer, creative thinker, and social native. You'd own the creative expression across…
Added 39 mins ago
PC
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Added 39 mins ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
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- Full-time
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Added 39 mins ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
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- Full-time
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Added 40 mins ago
M
Sales Consultant
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Hydro One

Enterprise AI Platform Lead

Toronto, ON, Canada

$110 to $128 CAD / hour · Contract

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Job details

Pay: $110 to $128 CAD / hour
Job type: Contract
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Description

This is a temporary contractor position for an existing vanacny.

Summary

The AI Platform Lead is responsible for the strategy, architecture, governance, engineering, and operational management of the enterprise AI platform. This role enables the safe, scalable, and responsible adoption of Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI capabilities across the organization.

The AI Platform Lead will establish and evolve the foundational AI platform, including model management, AI engineering services, governance controls, integration patterns, observability, and operational processes. The role partners closely with business leaders, data teams, security, privacy, architecture, and technology delivery teams to accelerate AI adoption while ensuring reliability, compliance, and measurable business value.

Key Responsibilities

AI Platform Strategy & Roadmap

Define and execute the enterprise AI platform strategy aligned with business objectives.
Develop and maintain a multi-year roadmap for AI platform capabilities, tooling, and services.
Evaluate emerging AI technologies and determine enterprise adoption opportunities.
Establish standards and reference architectures for AI, ML, Generative AI, and Agentic AI solutions.

Platform Engineering & Operations

Lead the design, development, deployment, and operation of enterprise AI platforms and services.
Establish reusable platform services for model deployment, prompt management, vector search, model routing, monitoring, and evaluation.
Ensure platform reliability, scalability, performance, and cost optimization.
Implement DevSecOps, MLOps, and AI Ops practices across the AI lifecycle.
Oversee production support, incident management, monitoring, and operational readiness processes.

Governance, Security & Responsible AI

Establish AI governance frameworks, controls, and review processes.
Ensure compliance with privacy, cybersecurity, data protection, and regulatory requirements.
Define and enforce responsible AI standards, guardrails, testing methodologies, and approval workflows.
Implement auditability, monitoring, logging, model performance tracking, and risk management capabilities.
Partner with Legal, Compliance, Risk, and Cyber Security teams to ensure enterprise readiness.

AI Enablement & Innovation

Enable business units to adopt AI through governed self-service capabilities.
Support development of AI assistants, copilots, predictive models, and intelligent automation solutions.
Drive adoption of approved enterprise AI tools and platforms.
Create reusable AI patterns, templates, accelerators, and best practices.
Promote innovation while balancing governance and operational risk.

Data & Integration Alignment

Partner with enterprise data platform teams to ensure high-quality, governed data access for AI workloads.
Collaborate with integration teams to expose enterprise data and services through secure APIs and approved interfaces.
Ensure AI solutions integrate effectively with business applications and enterprise workflows.

Leadership & Stakeholder Management

Lead and mentor AI engineers, platform engineers, data scientists, and technical specialists.
Build relationships with technology leaders, business stakeholders, and external vendors.
Manage platform budgets, vendor relationships, licensing, and contracts.
Present AI platform strategy, risks, and outcomes to executive leadership.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
8+ years of experience in enterprise technology, data, cloud, AI, or platform engineering roles.
3+ years of leadership experience managing technical teams or enterprise platforms.
Hands-on experience with enterprise AI, machine learning, and cloud platforms.
Strong experience with Azure AI Services, OpenAI technologies, machine learning platforms, or equivalent enterprise AI ecosystems.
Experience implementing platform governance, security, and operational controls.
Strong understanding of enterprise architecture, APIs, cloud services, and data platforms.
Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

Experience with Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and LLM platforms (Snowflake Cortex and Microsoft Copilot)
Experience with MLOps frameworks and AI lifecycle management.
Knowledge of Snowflake, Microsoft Fabric, Azure Data Services, or similar platforms.
Cloud certifications (Azure, Snowflake, ServiceNow, etc.).
Experience in regulated industries with strong governance and compliance requirements.

Critical Success Factors

Balances innovation with governance and risk management.
Creates scalable, reusable enterprise AI capabilities.
Delivers measurable business value through AI adoption.
Builds strong partnerships across business and technology teams.
Demonstrates strategic leadership while remaining technically credible.
Drives operational excellence, platform reliability, and responsible AI practices.

Key Performance Indicators (KPIs)

Growth of AI platform adoption across business units.
Number of production AI solutions successfully deployed.
AI platform availability and operational performance.
Reduction in time-to-deploy AI use cases.
Compliance with AI governance and security standards.
User satisfaction and business value delivered through AI initiatives.
Platform cost efficiency and optimization outcomes.

This role operates under a hybrid work model and requires employees to work from the office a minimum of two days per week.

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More about this job

Responsibilities

Lead the strategy, architecture, engineering, governance, and operations of the enterprise AI platform, enabling secure and scalable adoption of AI across the organization. Build reusable platform capabilities, ensure responsible AI and regulatory compliance, support business adoption, and lead teams and stakeholder relationships.

Requirements

Requires a bachelor's degree in a relevant field, at least eight years of experience in enterprise technology, data, cloud, AI, or platform engineering, and at least three years of leadership experience. Candidates need hands-on enterprise AI and cloud platform experience, including Azure AI Services or equivalent, plus expertise in governance, security, enterprise architecture, APIs, and data platforms.

Skills

AI Platform Strategy
Enterprise Architecture
AI Engineering
Machine Learning
Generative AI
Agentic AI
Azure AI Services
OpenAI Technologies
MLOps
DevSecOps
AI Governance
Responsible AI
Cloud Platforms
Data Platforms
API Integration
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI Platform
Artificial Intelligence
Machine Learning
Generative AI
Agentic AI
Azure AI Services
OpenAI
Snowflake Cortex
Microsoft Copilot
Microsoft Fabric
Azure Data Services
Retrieval-Augmented Generation
Large Language Models
MLOps
DevSecOps
AI Ops
Model Management
Prompt Management
Vector Search
Model Routing
AI Governance
Responsible AI
Cloud Platforms
Enterprise Architecture
APIs
Data Platforms
Cybersecurity
Privacy
Regulatory Compliance
Incident Management

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