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Conversational Ai Jobs in Quebec (NOW HIRING)

Simpro Software

Product Manager - AI

Montreal, QC

Experience with the specific challenges of real-time conversational AI or LLM integration is a strong plus. Ce que vous apportez Nos valeurs fondamentales * Nous formons une seule equipe * Nous ...

Coveo

Development Manager

Montreal, QC · On-site

Explore is where Coveo's AI comes to life. We build the intelligent discovery experiences that millions of people use every day - from search and recommendations to conversational AI and personalized ...

Coveo

Development Manager

Montreal, QC

Explore is where Coveo's AI comes to life. We build the intelligent discovery experiences that millions of people use every day - from search and recommendations to conversational AI and personalized ...

National Bank

Senior Transformation Advisor

Laval, QC · Hybrid

Significant experience delivering transformation projects and AI projects (e.g., automation, conversational AI, advanced analytics). * Strong ability to influence and engage at an executive level.

BRP

Partner with business and technical teams to identify use cases for AI technologies, including conversational AI, predictive analytics, logistics optimization, agentic workflows, and process ...

BRP

Partner with business and technical teams to identify use cases for AI technologies, including conversational AI, predictive analytics, logistics optimization, agentic workflows, and process ...

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Conversational Ai information

See Quebec salary details

$28.5K

$113.4K

$232K

How much do conversational ai jobs pay per year?

As of Aug 31, 2026, the average yearly pay for conversational ai in Quebec is $113,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a conversational AI?

A Conversational AI job involves designing, developing, and optimizing AI-powered chatbots, virtual assistants, and voice interfaces to improve user interactions. Professionals in this field work with natural language processing (NLP), machine learning, and conversational design to create seamless and intuitive AI responses. Roles can range from AI engineers and chatbot developers to conversation designers and data analysts. These jobs require a mix of technical skills, linguistic expertise, and user experience (UX) knowledge. The goal is to enhance customer support, automation, and user engagement through intelligent dialogue systems.

What does a conversational AI do?

In a Conversational AI role, you can expect to work on developing and fine-tuning chatbots, virtual assistants, and voice interfaces to improve user interaction and automate customer support. Responsibilities often include designing conversation flows, training language models, evaluating user interactions, and collaborating with product managers, UX designers, and software engineers. Many Conversational AI professionals also conduct ongoing research to implement the latest advancements and refine system accuracy. This role provides exposure to varied industries such as healthcare, finance, and e-commerce, offering significant opportunities for both technical growth and cross-functional collaboration.

What are the key skills and qualifications needed to thrive in a conversational AI position?

To thrive as a Conversational AI professional, you need expertise in natural language processing (NLP), machine learning, computer science, and the ability to design effective, user-friendly dialogue systems. Familiarity with Python, TensorFlow or PyTorch, cloud platforms, chatbot frameworks, and often certifications in AI or data science are valued in this field. Creativity, problem-solving, strong communication skills, and a user-centric mindset help professionals excel in building intuitive conversational experiences. These skills ensure the development of reliable, engaging AI-driven interfaces that meet business objectives and enhance user satisfaction.

What are popular job titles related to Conversational Ai jobs in Quebec?

For Conversational Ai jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Conversational Ai jobs in Quebec look for?

The top searched job categories for Conversational Ai jobs in Quebec are:

Conversational Ai jobs near you
Infographic showing various Conversational Ai job openings in Quebec as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $113,377 per year, or $54.5 per hour.

Senior Developer - Conversational AI Delivery

Waterfield Tech

Montreal, QC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Developer — Conversational AI Delivery

Waterfield Tech

ROLE OVERVIEW

We are looking for a senior developer to join our Conversational AI Design & Delivery team as a core technical contributor. You will work in collaboration with our technical lead to design, develop, test, and deliver conversational AI solutions for customers.

This is not a support role. We need someone who can operate as a technical pillar on the team: autonomous, reliable, and strong enough to carry delivery workstreams independently while collaborating closely with technical leadership.

WHAT YOU’LL DO

  • Design, develop, test, and deliver conversational AI solutions (chatbots, voicebots, IVR systems) for customer and internal projects
  • Take ownership of delivery workstreams end-to-end, from technical design through deployment
  • Collaborate with cross-functional teams — project managers, conversational designers, QA — across the full project lifecycle
  • Work directly with customers throughout project delivery, including technical discussions and demos
  • Apply disciplined software engineering practices, fully leveraging agentic coding tools (e.g. Claude Code, Codex) to maximize quality and velocity

CORE REQUIREMENTS

  • 6+ years of hands-on software development experience
  • Proficiency across multiple programming languages, with 4+ years using Python or TypeScript
  • Experience with cloud platforms (GCP, AWS, or Azure)
  • Demonstrated ability to work autonomously and carry technical delivery with minimal supervision
  • Experience with disciplined engineering practices: version control, code review, CI/CD, automated testing
  • Strong communication skills — comfortable interacting with customers, presenting technical work, and collaborating across disciplines

KEY QUALITIES

  • Team player — collaborative, willing to pitch in where needed
  • Creative problem solver — brings ideas, not just execution
  • Organized and dependable — manages multiple workstreams without dropping balls
  • Curious and adaptable — eager to learn new platforms and technologies
  • Comfortable with ambiguity — can navigate evolving requirements and new problem domains

NICE TO HAVE

  • Experience in delivering solutions for customer service / contact center (CCaaS) environments
  • Exposure to NLU or speech technologies (e.g. speech recognition, speech synthesis)
  • Experience working in a consulting or professional services delivery model
  • Experience with Google Dialogflow, Amazon Lex, or similar conversational AI platforms

PHYSICAL REQUIREMENTS

  • Ability to sit for extended periods
  • Ability to lift or carry objects up to 10 lbs.
  • Frequent use of computer, telephone and standard office equipment.


Waterfield Tech is proud to be an equal opportunity employer.

Waterfield Tech believes that all persons are entitled to equal employment opportunity and does not discriminate against its Employees or applicants because of race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, citizenship status, disability, protected medical condition, military status, genetic information, or any other basis prohibited by applicable federal, state, or local law. This policy extends to all aspects of our employment practices including, but not limited to, recruiting, hiring, training, discipline, promotion, transfers, compensation, benefits, leaves of absence, termination, and all other terms and conditions of employment.

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