Define, design, and document application requirements and component specifications for an auto-insurance quoting project. Write functional test cases, execute manual unit tests, support testing phases, collaborate with stakeholders, track issues, and prepare project documentation. Work includes aligning with development teams and leveraging SOA/Agile methodologies and tools like JIRA and Enterprise Architect.
Project context: The objective is to demonstrate the ability
of distribution tools built on the Genesis platform (EIS) to interact with a
large language model (LLM) or agentic AI in a real-world data collection
context for generating insurance quotes. The targeted process is auto insurance
quotes in Quebec for the Insurance brand.
The successful candidate will define, design, and document
the specification documents and application requirements.
Main Responsibilities
- Responsible for defining/writing application requirements in
collaboration with business experts (business sectors)
- Define and document the specifications of the components to
be configured/implemented
- Define and document unit (functional) test cases related to
the component specifications
- Participate in project alignment with the development teams
- Execute manual unit (functional) tests
- Contribute to the testing phases
- Follow up on issues and escalate them to project managers
- Prepare documentation for assigned projects, analyze system
components and change requests
- Collaborate with various stakeholders (designers, business
experts) in the analysis of technological solutions
- General Profile Sought
- Customer-focused
- Strong interpersonal and writing skills
- Significant project experience
- Proficient in new approaches/methodologies (SOA, Agile)
- Proficient in available tools (JIRA, Enterprise Architect,
etc.)
- Results-oriented
- Demonstrated leadership and autonomy
- English proficiency level: Intermediate
Requirements
The following will be considered an asset:
- Knowledge of AI concepts and tools
- Knowledge of Genesis/Amber (EIS software package)
- Knowledge of DGAG (Auto solutions)
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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.
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