Python Ai Developer Jobs in Ontario (NOW HIRING)

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):

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

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 growing team!

What you'll do here:

• Evolve the MLOps platform to improve the business' operational processes, ensuring robustness, performance, scalability, reliability, and observability.
• Own end-to-end delivery of software products ranging from workflow orchestrator, APIs/services to front end UI
• Work closely with data scientists and analysts to ensure AI solutions are effectively addressing business needs by leveraging high-quality data and aligning with strategic goals.
• Ensure seamless integration of AI-driven solutions with existing insurance operations systems, coordinating with IT and operations teams to align on technical requirements and deployment strategies.
• Stay up to date with advancements in AI and machine learning technologies, applying new techniques and methodologies to enhance the capabilities and efficiency of deployed solutions, while also contributing to the team's knowledge base.
• Use CI/CD tools and agile methodology to ensure fast and reliable delivery of features and updates.
• Play a Technical Leader / Mentor role for Squad members and influence the technical roadmap.

What you bring to the table:

• Bachelor's degree in computer engineering, computer science, or any combination of equivalent education and experience.
• Minimum 6 years of significant experience in development
• Strong in Python. Extensive experience in Angular/React is consider an asset.
• Proficiency with Cloud Infrastructure (ideally AWS), containers, IaC (Terraform), CI/CD, and observability
• Strong communication skills with the ability to translate business problems into technical solutions; proactive, change agent, and collaborative team player.
• Experience with automated testing on the backend and UI and familiarity with observability tools and practices
• Good understanding of GenAI building blocks: prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vectorDBs, model fine tuning, graphDB usage with LLMs, MCP, reasoning models.
• Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog and Delta Lake is considered an asset.
• Proficient in AI-assisted coding.
• A good knowledge of MLOps best practices.
• For candidates located in Quebec, bilingualism (FR-EN) is required due to frequent collaboration with English-speaking colleagues across Canada.
• No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

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.