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.

Main
responsibilities

• 
  Coach
  several teams in the application of technologies for developing business
  solutions and help them progress in order to improve delivery velocity.
• 
  Identify
  and prioritize development cycle optimization projects to support business
  strategies.
• 
  Ensure the
  analysis and development of software development lifecycle support products,
  including, if required, design, code, testing, and operations, while applying
  best practices in development, data, and security.
• 
  Define, in
  collaboration with the software architecture team, development methodologies,
  development patterns, and technology choices, and share them across the teams
  you lead.
• 
  Ensure the
  automation of testing for both functional and non-functional requirements
  (mastering associated methodologies; e.g., test pyramids, TDD, BDD,
  load/performance, security, etc.).
• 
  Represent
  the teams to various members of senior management and to internal/external
  partners and organizations.
• 
  Stay
  current on technological trends and development practices, and act as a mentor
  to development teams regarding technologies and best practices.
• 
  Establish
  frameworks, experiment with, and document technical solutions and practices to
  ensure the sustainability of development lifecycle support products. English
  level: Intermediate

Requirements

The
following will be considered an asset:

• 
  Knowledge
  of AI concepts and tools
• 
  Knowledge
  of Genesis/Amber (software package from the EIS vendor)
• 
  Knowledge
  of DGAG (Auto solutions)