About The Company
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 seeking a highly skilled and innovative Senior AI Developer to join our expanding team at Intact Financial. This role offers an exciting opportunity to contribute to cutting-edge AI and machine learning initiatives that drive our business forward. As a key member of our technology team, you will be instrumental in developing, implementing, and optimizing AI solutions that enhance our operational capabilities and customer experience.
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 leadership and mentorship role within the team, influencing the technical roadmap and best practices.
Qualifications
- Bachelor's degree in computer engineering, computer science, or a related field, or equivalent experience and education.
- Minimum of 6 years of significant development experience, demonstrating a strong technical background.
- Proficiency in Python with extensive experience; familiarity with Angular/React is considered an asset.
- Hands-on experience with Cloud Infrastructure, preferably AWS, along with containers, Infrastructure as Code (Terraform), CI/CD pipelines, and observability tools.
- Excellent communication skills with the ability to translate complex business problems into effective technical solutions; proactive, collaborative, and adaptable team player.
- Experience with automated testing for backend and UI components, along with familiarity with observability practices and tools.
- Strong understanding of Generative AI building blocks including prompting techniques, agentic frameworks, evals, guardrails, retrieval-augmented generation (RAG), embeddings/vector databases, model fine-tuning, graph databases with large language models (LLMs), reasoning models, and Multi-Channel Processing (MCP).
- Solid data engineering skills, with hands-on experience with Databricks technologies such as Unity Catalog and Delta Lake considered an asset.
- Proficiency in AI-assisted coding tools and best practices for MLOps.
- For candidates in Quebec, bilingualism in French and English is required due to collaboration with diverse teams across Canada.
- No Canadian work experience required; candidates must be eligible to work in Canada.
