Senior L3 AI Engineer

Acestack; Montreal; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

Acestack is seeking a Senior Level 3 AI Engineer in Montreal, hybrid. You will be the primary escalation owner for the enterprise AI portfolio, including Microsoft Copilot, OpenAI ChatGPT, and other models, while coordinating with global teams.

You will configure, deploy, and scale AI products, ensure security/compliance, and build automation with Python, PowerShell, and Graph API. You will mentor peers and drive high-quality documentation.

Qualifications

• 6+ years of engineering, platform engineering, or senior technical support experience in enterprise environments.
• Hands-on experience deploying AI/LLM products or Microsoft 365 at enterprise scale.
• Strong understanding of Generative AI and LLM concepts.
• Advanced scripting/automation: Python, PowerShell, Graph API.
• Security and compliance controls (DLP/Purview, SSO/SCIM, audit logs).
• Experience with Microsoft Power Platform and connectors.

Responsibilities

• Act as the first point of call for complex engineering issues that Level 2.5 support cannot resolve.
• Configure, deploy, administer, and scale enterprise AI products and integrations.
• Manage tenant and admin configurations across M365, Entra ID, Purview/DLP, Azure OpenAI, connectors, and Power Platform.
• Develop automation and tooling using Python, PowerShell, and Microsoft Graph API.
• Coordinate with Microsoft and vendor teams to test, validate, and roll out new AI features and models.
• Balance rapid AI enablement with enterprise security and responsible-AI requirements.
• Own one AI product as the designated POC while maintaining broad portfolio knowledge.
• Drive incident, problem management, root-cause analysis, and post-implementation reviews.
• Mentor Level 2.5 support teams and establish escalation paths.

Skills

6+ years experience

Generative AI

LLM concepts

Troubleshooting

Mentoring

Stakeholder communication

English/French bilingual

Education

Bachelor's degree in CS/Engineering

Tools

Python

PowerShell

Microsoft Graph API

CI/CD

Power Platform

M365

Purview/DLP

Entra ID

Azure OpenAI

ServiceNow

Job description

Job Title: Senior L3 AI Engineer
Job Type: Full Time (FTE)
Location: Montreal, QC (Hybrid)

We are seeking a highly skilled Senior Level 3 AI Engineer to serve as the first point of escalation for complex engineering issues across the firm's enterprise AI portfolio, including Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok, and Gemini, along with new AI products introduced over time.

The role combines deep technical troubleshooting, enterprise AI platform administration, automation, security and compliance, feature evaluation, and support-team enablement. The engineer will own one AI product as the primary point of contact while maintaining working knowledge across the broader AI portfolio.

Key Responsibilities

• Act as the first point of call for complex engineering issues that Level 2.5 support cannot resolve.
• Configure, deploy, administer, and scale enterprise AI products and integrations.
• Manage tenant and administrative configurations across M365, Entra ID, Purview/DLP, Azure OpenAI, connectors, and Power Platform.
• Develop automation and tooling using Python, PowerShell, and Microsoft Graph API.
• Partner with Microsoft and vendor engineering teams to test, validate, and safely roll out new AI features and models.
• Balance rapid AI enablement with enterprise security, compliance, and responsible-AI requirements.
• Review and improve Level 2.5 documentation and knowledge articles for technical accuracy.
• Train and mentor Level 2.5 support teams and establish effective escalation paths.
• Own one AI product as the designated Point of Contact (POC) while maintaining broad portfolio knowledge.
• Drive incident management, problem management, root-cause analysis, and post-implementation reviews.
• Contribute to the development of an AI agent designed to automate training, Level 2 support, and QA activities.
• Coordinate effectively across Montreal and Bengaluru teams using structured follow-the-sun handovers.

Required Skills & Qualifications

• 6+ years of experience in engineering, platform engineering, or senior technical support within enterprise environments.
• Hands-on experience deploying and supporting AI/LLM products or Microsoft 365 at enterprise scale.
• Strong understanding of Generative AI and LLM concepts.
• Advanced scripting and automation skills using Python, PowerShell, and/or Microsoft Graph API.
• Familiarity with CI/CD concepts and enterprise automation.
• Strong experience with AI-related security and compliance controls, including DLP/Purview, access management, SSO/SCIM, audit logging, and responsible-AI policies.
• Experience with connectors and/or Microsoft Power Platform.
• Integration experience across M365, ServiceNow, and identity platforms.
• Strong technical troubleshooting and root-cause analysis capabilities.
• Excellent knowledge-base authoring, mentoring, and stakeholder communication skills.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Bilingual English/French skills are an asset for the Montreal location.

Core Competencies

• Deep technical troubleshooting across AI and M365 platforms.
• AI/LLM platform administration and enterprise support.
• Automation-first mindset and ability to build tools that reduce manual effort.
• AI feature and model evaluation.
• Secure enterprise AI deployment and compliance.
• Knowledge management and technical documentation.
• Mentoring and support-team enablement.
• Strong collaboration across geographically distributed teams.

Key Performance Indicators

• Time-to-resolution for escalated and complex engineering issues.
• Quality and compliance of new AI feature and model rollouts.
• Accuracy and coverage of knowledge articles.
• Improvement in Level 2.5 first-time resolution rates.
• Reduction in manual effort through automation and AI-agent initiatives.

Working Conditions

• Based in Montreal, QC, operating within a follow-the-sun support model with the Bengaluru team.
• Staggered working hours may be required to maximize daily coverage.
• Responsible for single-product ownership while maintaining broad knowledge of the complete enterprise AI portfolio.
• Structured handover of open incidents and engineering activities between locations.