AI Developer Senior

Intact

Montreal (administrative region)

Hybrid

CAD 119,000 - 145,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Annual bonus target up to double the目标
Employee Share Purchase Plan (ESPP) 50

Job summary

Intact is seeking a Senior AI Developer to grow our AI capabilities and MLOps platform in a hybrid Montreal team. You will drive end-to-end software delivery, from workflow orchestration and APIs to front-end UI, collaborating with data scientists to build AI solutions that align with business goals.

We value strong Python, cloud and observability skills, plus experience with Databricks Unity Catalog and Delta Lake. A bilingual FR-EN profile is required for collaboration across Canada.

Qualifications

  • Bachelor's degree in computer engineering, computer science, or equivalent.
  • Minimum 6 years of development experience.
  • Strong Python skills; Angular/React experience is a plus.
  • Proficiency with Cloud Infrastructure (AWS), containers, Terraform, CI/CD, and observability.
  • Experience with automated testing for backend/UI and observability tools.
  • Knowledge of GenAI components: prompting, embeddings, RAG, tuning.
  • Data engineering experience with Databricks Unity Catalog and Delta Lake is a plus.
  • French-English bilingualism required for Quebec candidates.

Responsibilities

  • Evolve the MLOps platform to improve operational processes and reliability.
  • Own end‑to‑end delivery of software products from workflows to UI.
  • Collaborate with data scientists to address business needs using quality data.
  • Ensure AI solutions integrate with insurance operations systems.
  • Stay current with AI/ML advances and apply new techniques.
  • Utilize CI/CD and agile methods for rapid, reliable feature delivery.
  • Provide technical leadership and mentorship within the squad.

Skills

Python
Angular/React
AWS/Cloud
CI/CD
Observability
Data engineering
AI-assisted coding
MLOps
Bilingual FR-EN

Education

Bachelor's degree in computer engineering/science

Tools

Databricks Unity Catalog
Delta Lake

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 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.

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing 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.

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