Senior AI Architect in a growing team delivering ML and Gen-AI solutions. Collaborating with technical teams to evolve Data & AI platform architecture while ensuring automation and governance best practices.
Responsibilities
Be part of a dynamic team that thrives on challenges and helps to deliver both discriminative ML and generative AI (Gen-AI) solutions.
Help define and evolve our Data & AI platform architecture to ensure its timely and efficient evolution, maintenance and support via the use of automation, security and governance best practices, etc.
Collaborate with members from various technical teams to develop solutions that address the needs of our customers.
Deliver architecture blueprints and implementation strategies that meet our security and data protection standards.
Ensure that architectures are aligned with our corporate vision and objectives, while being able to propose innovative approaches to problem solving.
Requirements
Bachelor’s degree in information technology/software engineering or any combination of equivalent education and experience.
At least 5 years of significant experience in software development.
At least 5 years of experience in an application or solution architecture role.
Knowledge of various DevOps paradigms (i.e. DataOps, DevSecOps, MLOps, etc.).
Knowledge of GCP cloud ecosystems (i.e. Cloud Run, Compute Engine, Cloud Storage, Big Query, etc.).
Knowledge of other ML/AI technologies (i.e. Databricks, Snowflake, AWS SageMaker, VertexAI, etc.) an asset.
Knowledge of specific Contact Center AI Services (i.e. DialogFlow, AgentAssist, etc.) an asset.
Passionate about creating highly resilient, secure, and scalable AI applications.
Comfortable working with multidisciplinary teams (ex: Business Analysts, Developers, Data Architects and Enterprise architects) in complex and constantly changing environments.
Able to take a business problem and turn it into a technological solution.
Excellent at explaining complex and technical ideas to various stakeholders.
Well organized, with a good sense of how to manage priorities.
Experience leveraging an architecture framework / methodology such as TOGAF, an asset.
For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
No Canadian work experience required however must be eligible to work in Canada.
Benefits
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)
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