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Added 4 mins ago
A
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- Full-time
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Added 34 mins ago
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SK · Saskatchewan, Canada
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- $65 to $75 CAD / hour
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GPU & AI Optimization Engineer
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Added 34 mins ago
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Added 49 mins ago
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Added 49 mins ago
Senior AI Platform Engineer
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PeoplePilot

Senior L3 AI Engineer

Montreal, QC, Canada

$120,000 to $140,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $140,000 CAD / year
Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

# Senior L3 AI Engineer – Enterprise AI Platforms

📍 **Location:** Montreal, Quebec, Canada

🏢 **Work Model:** Hybrid

💰 **Salary:** CAD $120,000–$140,000 per year

📅 **Experience:** 6+ years

## About the Role

We are seeking an experienced **Senior L3 AI Engineer** to provide advanced engineering support across enterprise AI products, including **Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok, and Google Gemini**.

The role will focus on resolving complex AI platform issues, configuring and deploying enterprise AI solutions, managing integrations and automation, and supporting new feature and model rollouts.

You will work closely with Microsoft and vendor engineering teams, while also mentoring Level 2.5 support engineers and improving the overall enterprise AI support environment.

## Key Responsibilities

Act as the primary engineering escalation point for complex issues that cannot be resolved by Level 2.5 support.

Troubleshoot and investigate technical issues across the enterprise AI product portfolio.

Configure, deploy, and scale enterprise AI products, including tenant and administrator configurations.

Manage integrations and automation across:

Microsoft 365 (M365)

Microsoft Entra ID

Microsoft Purview / DLP

Azure OpenAI

Connectors

Microsoft Power Platform

Collaborate with Microsoft and vendor engineering teams to test, validate, and roll out new AI features and models.

Balance rapid feature enablement with enterprise security, privacy, and compliance requirements.

Review Level 2.5 documentation and knowledge articles for technical accuracy and completeness.

Train and mentor Level 2.5 support engineers, providing advanced troubleshooting guidance and escalation procedures.

Own one AI product as the primary point of contact while maintaining technical knowledge across the full AI portfolio.

Drive incident management, problem management, root-cause analysis, and post-implementation reviews.

Contribute to the development of an AI agent to automate training, Level 2 support, and QA activities.

Support structured handovers and collaboration between Montreal and Bengaluru teams.

## Required Skills & Qualifications

**6+ years of experience** in an engineering, platform engineering, or senior technical support role within enterprise environments.

Hands-on experience deploying and supporting **AI/LLM products or Microsoft 365 at enterprise scale**.

Strong understanding of Generative AI concepts and enterprise AI platforms.

Strong scripting and automation experience with:

Python

PowerShell

Microsoft Graph API

Familiarity with CI/CD concepts and automation practices.

Experience with AI security and compliance controls, including:

Data Loss Prevention (DLP)

Microsoft Purview

Access Management

Single Sign-On (SSO)

SCIM

Audit Logging

Responsible AI Policies

Experience with connectors and/or Microsoft Power Platform.

Integration experience across Microsoft 365, ServiceNow, and identity platforms.

Strong technical troubleshooting and root-cause analysis skills across AI and M365 platforms.

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

## Core Technical Skills

Enterprise AI Platform Engineering

Microsoft Copilot

OpenAI ChatGPT

Anthropic Claude

Grok

Google Gemini

Zoom AI Companion

Microsoft 365 Administration

Microsoft Entra ID

Microsoft Purview / DLP

Azure OpenAI

Microsoft Power Platform

Microsoft Graph API

Python

PowerShell

CI/CD

API and Platform Integrations

SSO / SCIM

Identity and Access Management

AI Security and Compliance

Incident and Problem Management

Root-Cause Analysis

Technical Documentation and Knowledge Management

## Preferred Qualifications

Experience in **financial services or banking environments**.

Experience working with Microsoft or third-party AI platform engineering teams.

Experience evaluating new AI features and models before enterprise-wide deployment.

Experience mentoring technical support teams and developing escalation procedures.

Strong knowledge-sharing and cross-location collaboration skills.

For Montreal-based candidates, **English/French bilingual communication is an asset**.

## Working Model

This role operates within a **follow-the-sun support model** across Montreal and Bengaluru, with staggered working hours to maximize daily support coverage.

The engineer will maintain ownership of one assigned AI product while supporting the broader AI portfolio and ensuring structured handovers between locations.

## Key Performance Areas

Resolution time for complex and escalated engineering issues.

Quality and security compliance of new AI feature rollouts.

Accuracy and completeness of technical documentation.

Improvement in Level 2.5 first-contact resolution through mentoring and knowledge sharing.

Contributions to AI automation and agent-development initiatives.

## How to Apply

Interested candidates can share their updated resumes highlighting hands-on experience in **enterprise AI platforms, Microsoft 365, Azure OpenAI, Python, PowerShell, Microsoft Graph API, Entra ID, Purview/DLP, and AI platform integrations**.

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More about this job

Responsibilities

Serve as the primary engineering escalation point for complex issues across enterprise AI products, and configure, deploy, integrate, and support AI platforms while maintaining security and compliance. Lead incident and root-cause investigations, validate new features and models, mentor Level 2.5 engineers, improve documentation, and contribute to AI support automation and cross-location handovers.

Requirements

Requires 6+ years of enterprise engineering, platform engineering, or senior technical support experience, including hands-on deployment and support of enterprise AI/LLM products or Microsoft 365. Candidates should have strong Generative AI, Python, PowerShell, Microsoft Graph API, automation, integration, troubleshooting, and AI security and compliance experience; a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience, is required.

Skills

Enterprise AI Platform Engineering
Microsoft Copilot
Microsoft 365 Administration
Azure OpenAI
Python
PowerShell
Microsoft Graph API
Microsoft Entra ID
Microsoft Purview
Data Loss Prevention
Microsoft Power Platform
API Integrations
Identity and Access Management
AI Security and Compliance
Incident Management
Root-Cause Analysis

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI Platforms
Microsoft Copilot
OpenAI ChatGPT
Anthropic Claude
Grok
Google Gemini
Zoom AI Companion
Microsoft 365
Azure OpenAI
Microsoft Entra ID
Microsoft Purview
Data Loss Prevention
Microsoft Power Platform
Microsoft Graph API
Python
PowerShell
CI/CD
API Integrations
ServiceNow
Single Sign-On
SCIM
Identity and Access Management
Audit Logging
Responsible AI
Incident Management
Problem Management
Root-Cause Analysis
Generative AI
Financial Services
AI Agent Development

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