Intact (intactfc.com) Logo

Intact (intactfc.com)

AI Developer Senior

Posted 13 Days Ago
Be an Early Applicant
Hybrid
Montréal, QC, CAN
Senior level
Hybrid
Montréal, QC, CAN
Senior level
Develop and operate scalable AI and MLOps solutions, including workflow orchestration, APIs, services, and user interfaces. Integrate AI capabilities with insurance systems, collaborate with data scientists and analysts, and apply GenAI techniques such as RAG, agents, evaluations, guardrails, and fine-tuning. Improve platform reliability, observability, testing, and CI/CD practices while mentoring engineers and influencing the technical roadmap.
The summary above was generated by AI

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.

 

 #LI-Hybrid

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.

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

Intact (intactfc.com) Montréal, Québec, CAN Office

Montréal, Canada

Intact (intactfc.com) Montréal, Québec, CAN Office

Montréal, Canada, 0

Similar Jobs

26 Days Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehousesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
2 Days Ago
In-Office or Remote
CA
Senior level
Senior level
Automotive • Other
Build the application and cognitive layer for humanoid robots, translating speech, gestures, and contextual inputs into robotic actions. Develop behavior trees, state machines, voice applications, multimodal interaction systems, agentic AI workflows, and integrations with robotics capabilities. Work across LLMs, VLMs, perception, edge/cloud systems, telemetry, testing, observability, CI/CD, and production deployment for human-robot experiences.
Top Skills: Acoustic Echo CancellationApi-Driven SystemsAws Speech ServicesAzure SpeechBeamformingBehaviortree.CppC++CerenceCi/CdCloud Ai ServicesDeepgramDockerElevenlabsEvent-Driven ArchitecturesKubernetesLlmsMicrophone ArraysModel Serving PlatformsNluNoise SuppressionObject DetectionOta UpdatesPythonRagRos2Scene UnderstandingSpatial TrackingSttTtsVlmsWhisper
6 Days Ago
Remote or Hybrid
2 Locations
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Build and deploy production GenAI and LLM systems for financial services and healthcare clients. Responsibilities include understanding business operations, designing AI solutions, developing evaluation suites, delivering cloud-native systems on AWS, supporting enterprise AI adoption, contributing to reusable blueprints, and engaging senior stakeholders in pre-sales and solution scoping. The role requires autonomous ownership from problem framing through production deployment, with hands-on work involving Claude, Claude Code, Cowork, integrations, workflows, and connectors.
Top Skills: AWSAws CdkAzureCi/CdClaudeClaude CodeCloudFormationCoworkEcsGCPKubernetesMcpPythonTerraformTypescript

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account