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Junior Ai Developer Jobs in Quebec (NOW HIRING)

Help junior engineers grow through coaching and knowledge sharing. * Stay current and bring ideas forward - Evaluate emerging AI techniques, frameworks, and tooling. Recommend and pilot new ...

Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning * Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake

Mentor and guide junior and mid-level engineers through code reviews, technical discussions, and knowledge sharing to establish coding standards, best practices, and an AI-forward development culture

Integrate with AI-powered functionality (e.g., AI function calls, predictive analytics, anomaly ... Mentor and guide junior developers and influence architectural decisions across the team. * Take ...

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Junior Ai Developer information

What are the key skills and qualifications needed to thrive in the Junior Ai Developer position, and why are they important?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

What is a Junior AI Developer job?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What are some typical day-to-day tasks for a Junior AI Developer?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

What are the most commonly searched types of Ai Developer jobs in Quebec? The most popular types of Ai Developer jobs in Quebec are:
What are popular job titles related to Junior Ai Developer jobs in Quebec? For Junior Ai Developer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Junior Ai Developer jobs in Quebec look for? The top searched job categories for Junior Ai Developer jobs in Quebec are:
What cities in Quebec are hiring for Junior Ai Developer jobs? Cities in Quebec with the most Junior Ai Developer job openings:
Infographic showing various Junior Ai Developer 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.
Senior AI Developer

Full-time

Life, Retirement

Posted 4 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for a Senior AI Developer to join our AI Enabling team. Our mission is to accelerate AI adoption across the organization by building golden paths (primarily in the form of agent skills) and reusable components that help product teams ship AI-powered features faster and with confidence. You'll design, build, and maintain these shared capabilities from prototype through production while mentoring the engineers around you. This is a hands-on technical leadership role where you'll own architecture decisions and shape how AI gets built across the company.
What you'll do here:

  • Build golden paths and reusable AI components - Design and develop agent skills, shared libraries, and reference architectures that product teams can adopt to ship AI-powered features faster and more reliably.
  • Enable product teams at scale - Partner with value stream teams to understand their needs, identify common patterns, and turn them into well-documented, production-ready building blocks (RAG pipelines, agentic workflows, prompt templates, evaluation harnesses).
  • Ship to production on AWS - Deploy and operate shared AI infrastructure using services like Bedrock, AgentCore, Lambda, Step Functions, and container platforms. Ensure reliability, latency targets, and cost efficiency across all shared components.
  • Define standards and best practices - Establish opinionated defaults for how AI gets built across the organization - from prompt engineering patterns to evaluation methodologies to deployment strategies.
  • Drive quality through evaluation and iteration - Build evaluation frameworks that product teams can plug into, measuring solution performance, detecting regressions, and ensuring consistent quality across consumers.
  • Collaborate across disciplines - Work with data scientists, analysts, and product teams to ensure AI components are addressing real business needs and leveraging high-quality data.
  • Mentor and elevate the squad - Conduct code reviews, pair on hard problems, and raise the team's technical bar in AI/ML engineering. Help junior engineers grow through coaching and knowledge sharing.
  • Stay current and bring ideas forward - Evaluate emerging AI techniques, frameworks, and tooling. Recommend and pilot new approaches that improve the platform's capabilities or developer experience.

What you bring to the table:

Required
  • Bachelor's degree in Computer Engineering, Computer Science, or equivalent combination of education and experience.
  • 8+ years of software development experience, including 3+ years building ML or AI systems in production environments.
  • Strong proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LangGraph, FastAPI).
  • Solid experience with AWS services relevant to AI/ML workloads (e.g., Bedrock, AgentCore, SageMaker, Lambda, Step Functions, S3).
  • Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies.
  • Experience with MLOps practices: CI/CD for models, monitoring, experiment tracking, and reproducible deployments.
  • Demonstrated ability to leverage AI coding assistants (Claude Code, Copilot, etc.) to accelerate development workflows.
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
  • For candidates located in Quebec, bilingualism is required given the necessity to interact regularly with English-speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.
Nice to have
  • Experience with MCP (Model Context Protocol) or similar agent-tool integration standards.
  • Familiarity with the insurance or financial services domain.
  • Experience with orchestration frameworks such as CrewAI, AutoGen, or similar.
  • Track record of mentoring engineers or leading technical initiatives.

#LI-Hybrid

Ce poste jouera un role essentiel au sein de notre equipe. | This position will fill an essential role in our team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME