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Ai Assistant Jobs in Quebec (NOW HIRING)

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. * Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes.

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. * Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes.

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes. Automate ...

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes. Automate ...

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. * Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes.

Groupe DCM

Design AI assistants capable of searching and leveraging information contained in internal documents. Integrate generative AI models (ChatGPT, Claude, Copilot, etc.) into business processes. Automate ...

Groupe DCM

Participer à la création d'assistants IA permettant de rechercher et exploiter des documents ... You will work closely with the team to explore, prototype, and improve AI-based tools while ...

Wing Assistant

GTM Associate

Montreal, QC · Remote

Wing Assistant is building the next generation of AI-enabled workforce solutions for growing businesses. We help companies get high-quality support across roles like executive assistance, admin ...

Groupe DCM

Participer à la création d'assistants IA permettant de rechercher et exploiter des documents ... You will work closely with the team to explore, prototype, and improve AI-based tools while ...

Side

Microservices AI Developer

Montreal, QC · On-site

... functional. * Assist in the integration of your API microservices with other software and tools ... Refine and optimize AI systems throughout the project lifecycle to ensure performance and ...

Bounteous

Applied AI Engineer

Montreal, QC

Build AI-powered assistants embedded in Lending systems using agentic workflows. * Deliver automated content and deck generation workflows for reporting and approvals. * Provide expert advice on ...

Side

Microservices AI Developer

Montreal, QC

... functional. * Assist in the integration of your API microservices with other software and tools ... Refine and optimize AI systems throughout the project lifecycle to ensure performance and ...

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All JobsAi JobsAi Assistant JobsAi Assistant Jobs in Quebec

Ai Assistant information

What is an AI assistant?

An AI Assistant job involves developing, managing, or utilizing artificial intelligence to enhance productivity, automate tasks, and provide support in various industries. AI Assistants can be software-based, like virtual chatbots, or professionals who implement AI tools to optimize workflows. Responsibilities may include programming AI models, analyzing data, or assisting users with AI-powered solutions. The role varies depending on the organization and can range from customer support to advanced machine learning deployment.

What are the key skills and qualifications needed to thrive in the AI assistant position, and why are they important?

To thrive as an AI Assistant, you should have a strong background in artificial intelligence concepts, data analysis, and programming, often supported by a relevant degree or training. Familiarity with AI development platforms, natural language processing tools, and machine learning frameworks is typically required. Excellent problem-solving abilities, clear communication, and adaptability are standout soft skills for this role. These competencies enable effective collaboration and innovative solutions in a rapidly evolving technology environment.

What are the typical day-to-day responsibilities of an AI assistant?

On a daily basis, an AI Assistant reviews and processes data, helps refine AI models, and collaborates with cross-functional teams such as developers, data scientists, and product managers. Tasks may include responding to user queries, analyzing patterns for process improvement, and updating algorithms to enhance system performance. The role often requires quick learning and adaptation to new technologies as projects evolve. This dynamic environment allows AI Assistants to develop technical expertise and gain experience working across multiple aspects of artificial intelligence projects.

What are the most commonly searched types of Ai jobs in Quebec? The most popular types of Ai jobs in Quebec are:
What job categories do people searching Ai Assistant jobs in Quebec look for? The top searched job categories for Ai Assistant jobs in Quebec are:
Ai Assistant jobs near you
Infographic showing various Ai Assistant job openings in Quebec as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.

AI Solutions Engineer

Connor, Clark & Lunn Financial Group Ltd.

Montreal, QC • Hybrid

Other

Re-posted 18 days ago

Job description

Interested in joining one of Canada's top-performing asset managers? We're hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark & Lunn Financial Group and our affiliate teams use in day-to-day work.  You turn signed-off specifications into production-ready AI assistants, agents, and workflow automations. You own build quality, reliability, safety, traceability, and maintainability, and partner closely with Data Engineering and MLOps to ship responsibly in a regulated financial services environment. We operate on a hybrid model with three days a week in-office to facilitate team collaboration.   

 
What You Will Do 

  • Build AI assistants and agents end-to-end from a signed-off spec, retrieval, tool integrations, prompt logic, source citation, and workflow integration 
  • Design and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimization 
  • Engineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and edge cases 
  • Own code quality and handoff, version artifacts, write tests where appropriate, and maintain clean, reviewable documentation 
  • Partner with Data Engineering to make data retrieval-ready, define ingestion needs, document assumptions, and validate data quality impacts 
  • Deploy through standard MLOps pipelines, monitoring/alerting, rollback readiness, cost controls, and operational runbooks 
  • Collaborate with affiliate teams during builds, demo real increments, capture feedback, and incorporate changes without breaking scope 
  • Document known limitations, risks, and mitigations before UAT, set expectations and prevent surprises for business stakeholders 

What You Will Bring 

  • Strong Python skills with experience shipping LLM applications end-to-end (build, test, deploy, and operate) 
  • Hands-on RAG experience, document processing, vector databases/search, and retrieval evaluation (precision/recall, grounding quality) 
  • Experience with agent frameworks (e.g., LangChain, LlamaIndex or equivalents), including tool use, orchestration, and multi-step flows 
  • Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs 
  • Prompt engineering fundamentals, structured prompting, output constraints, adversarial/failure-mode testing, and reproducibility 
  • Comfort working with semi-structured/unstructured data (PDFs, financial docs, emails, notes) and translating it into retrieval-ready assets 
  • Delivery mindset and strong written communication, hold scope, write clear technical documentation, and finish to production-quality 

#LI-Hybrid #LI-KC1 

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