AI Support Analyst
About the role
Pay Range: CAD 60-65/hr We are seeking a Level 2.5 AI Support Analyst to act as the front line for end user AI — answering user questions across the firm’s AI portfolio (Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok and Gemini, together with other AI products as they are introduced (for example Zoom AI Companion)) and capturing every query in a structured way. You will resolve what you can, escalate what you cannot, and document each interaction so that the knowledge feeds a future AI support agent. Each analyst maintains broad coverage of the full portfolio while owning one product as point of contact.
Key Responsibilities • Answer all user questions across channels — helpdesk tickets, support channels, email and direct queries — for the full AI portfolio. • Document every query and resolution in a consistent, structured format to build the knowledge base and feed the future AI support agent. • Resolve common and intermediate issues at first contact; escalate complex engineering issues to Level 3 with clear, complete context. • Assist Level 3 engineering and QA testers — reproduce issues, gather evidence and validate fixes. • Own one AI product as point of contact (POC) while maintaining working knowledge of the full portfolio; provide cover for the partner location. • Maintain and improve self-help content, FAQs and how-to guidance for end users. • Support a clean handover of open items between locations at shift change.
Qualifications & Experience • 5+ years in a technical support, service desk or application-support role in an enterprise environment. • Familiarity with M365 and a strong interest in AI products; able to learn new AI tools quickly. • Experience using ticketing and knowledge tools (e.g. ServiceNow, Jira/Confluence). • Strong verbal and written communication, high level of comfort with end-user engagement and a patient listener. • History of reading and writing technical documentation • Experience with mentoring teammates and colleagues, strong knowledge-sharing habits, and a history of team development. • For Montreal, bilingual (English/French) is an asset.
Core Skills • Self-starter, self-directed, team player, collaboration and handover across locations. • Strong communicator. Customer-focused troubleshooting and triage across multiple channels. • Technical writing experience. Disciplined, structured documentation and query capture. • Mentorship and technical knowledge transfer both upstream and downstream • Knowledge of ITIL and escalation, with complete context to Level 3 and QA.
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AI Support Analyst
About the role
Pay Range: CAD 60-65/hr We are seeking a Level 2.5 AI Support Analyst to act as the front line for end user AI — answering user questions across the firm’s AI portfolio (Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok and Gemini, together with other AI products as they are introduced (for example Zoom AI Companion)) and capturing every query in a structured way. You will resolve what you can, escalate what you cannot, and document each interaction so that the knowledge feeds a future AI support agent. Each analyst maintains broad coverage of the full portfolio while owning one product as point of contact.
Key Responsibilities • Answer all user questions across channels — helpdesk tickets, support channels, email and direct queries — for the full AI portfolio. • Document every query and resolution in a consistent, structured format to build the knowledge base and feed the future AI support agent. • Resolve common and intermediate issues at first contact; escalate complex engineering issues to Level 3 with clear, complete context. • Assist Level 3 engineering and QA testers — reproduce issues, gather evidence and validate fixes. • Own one AI product as point of contact (POC) while maintaining working knowledge of the full portfolio; provide cover for the partner location. • Maintain and improve self-help content, FAQs and how-to guidance for end users. • Support a clean handover of open items between locations at shift change.
Qualifications & Experience • 5+ years in a technical support, service desk or application-support role in an enterprise environment. • Familiarity with M365 and a strong interest in AI products; able to learn new AI tools quickly. • Experience using ticketing and knowledge tools (e.g. ServiceNow, Jira/Confluence). • Strong verbal and written communication, high level of comfort with end-user engagement and a patient listener. • History of reading and writing technical documentation • Experience with mentoring teammates and colleagues, strong knowledge-sharing habits, and a history of team development. • For Montreal, bilingual (English/French) is an asset.
Core Skills • Self-starter, self-directed, team player, collaboration and handover across locations. • Strong communicator. Customer-focused troubleshooting and triage across multiple channels. • Technical writing experience. Disciplined, structured documentation and query capture. • Mentorship and technical knowledge transfer both upstream and downstream • Knowledge of ITIL and escalation, with complete context to Level 3 and QA.