Job Title: Senior L3 AI Engineer

Job Type: Full Time (FTE)

Location: Montreal, QC (Hybrid)

Role Summary

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.
- Robust 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.

📌 SeniorAI Engineer (Montreal)
🏢 Realign
📍 Montreal