04 Aug
|
Intact Financial
|
Montreal
04 Aug
Intact Financial
Montreal
Together, we help people, businesses, and society prosper in good times and be resilient in bad times. 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. Versatile work arrangements and a hybrid work model Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more 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. 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. 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. 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 recent approaches that improve the platform's capabilities or developer experience.
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., Solid experience with AWS services relevant to AI/ML workloads: Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies. ~ CI/CD for models, monitoring, experiment tracking, and reproducible deployments. ~ Demonstrated ability to leverage AI coding assistants (Claude Code, Copilot, etc.) 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. Track record of mentoring engineers or leading technical initiatives. At Intact, our Value of respect is founded on seeing diversity as a strength.
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. 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. 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.
📌 Senior Cloud Platform Developer (Remote) (Montreal)
🏢 Intact Financial
📍 Montreal