Senior L3 Ai Engineer

**Salary:** CAD $120,000–$140,000 per year
**Experience:** 6+ years
About the RoleWe 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 Purview / DLP
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:
Microsoft Purview
Access Management
Single Sign-On (SSO)
SCIM
Audit Logging
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
OpenAI ChatGPT
Anthropic Claude
Grok
Google Gemini
Zoom AI Companion
Microsoft 365 Administration
Microsoft Purview / DLP
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
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 ModelThis 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.
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