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Tech Stack
Tools & technologiesFluxPython
About the role
Key responsibilities & impact- Help define how Intact uses AI and automation across risk management.
- Develop and deploy AI assistants, autonomous workflows, and automation solutions for enterprise, financial, operational, and technology risk teams.
- Build a portfolio spanning the full scope of risk management.
- Identify and prioritize high-value AI and automation opportunities.
- Develop a shared roadmap that balances business priorities, team needs, value, feasibility, controls, and maintenance.
- Simplify processes before automating them and focus investments on sustainable, reusable solutions.
- Develop, deploy, and maintain AI solutions and autonomous workflows.
- Automate evidence collection, document comparison, assessment preparation, issue tracking, and management reporting.
- Integrate solutions with approved data sources, knowledge repositories, and risk management platforms.
- Manage the full solution lifecycle, from prototyping and testing through deployment, monitoring, support, and continuous improvement.
- Implement access controls, source traceability, testing, human review, and exception management.
- Collaborate with technology, cybersecurity, privacy, compliance, data, and AI governance partners.
- Document solutions and establish sustainable support practices.
- Train colleagues and help them adopt new tools.
- Measure outcomes based on time savings, quality improvements, faster turnaround times, and sustained adoption.
- Establish an enterprise-wide risk management roadmap during the first year and implement solutions integrated into daily work.
Requirements
What you’ll need- University degree in data science, artificial intelligence, computer science, software engineering, analytics, or a related discipline is required.
- Demonstrated experience designing, developing, deploying, and maintaining AI or automation solutions used in a business context is required.
- Proficiency in Python or another relevant programming language.
- Experience with structured and unstructured data, as well as integrating data sources, knowledge repositories, and enterprise platforms, is required.
- Strong knowledge of large language models, AI assistants, agentic workflows, retrieval-augmented applications, APIs, and enterprise integrations is required.
- Ability to deliver end-to-end solutions, including requirements analysis, architecture, development, testing, deployment, monitoring, support, and continuous improvement.
- Experience evaluating the reliability of AI outputs and implementing controls related to security, data protection, traceability, human oversight, and exception management.
- Ability to design reliable, reusable, scalable, and maintainable solutions.
- Strong communication skills and the ability to collaborate with technical teams, risk professionals, and senior stakeholders.
- Self-motivated, curious, sound judgment, and able to manage multiple priorities in a changing environment.
- Knowledge of cybersecurity, risk management, or a regulated industry is an asset.
- No Canadian work experience is required, but you must be eligible to work in Canada.
- Bilingualism (French and English): regular interaction with English- and French-speaking colleagues and partners across the country is required.
Benefits
Comp & perks- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits to support physical and mental well-being, including telemedicine, a wellness account, and much more
- Share plan and other savings programs: up to 12% of salary or more
- Annual bonus target of 12%, with a potential payout of up to twice the target, subject to personal and company performance
- Employee Share Purchase Plan (ESPP), with Intact matching 50% of your net shares
- Defined benefit pension plan offering the opportunity to receive guaranteed income for life
- Workplace accommodations for people with disabilities