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Senior AI Architect
2 months ago
About the Role
We are seeking a highly skilled Senior AI Architect to join our team at Intact. As a key member of our DataLab, you will play a critical role in supporting architecture mandates and collaborating with Data Science and AI Developers.
Key Responsibilities
- Develop and evolve the AI platform architecture and integration with our corporate systems and market tools.
- 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.
- Experience architecting solutions that leverage various cloud services (E.g. AWS S3, Lambda, MLflow, etc.).
- Experience architecting solutions that leverage various platforms (E.g. MongoDB, Airflow, Elastic, Databricks, AWS/SageMaker, Snowflake, etc.).
- Knowledge of various DevOps paradigms (E.g. DataOps, DevSecOps, MLOps, etc.).
- Experience with container-based technologies such as Docker, an asset.
- Experience with hosting / serving machine learning models, an asset.
- Familiarity with machine learning technologies such Anaconda, Spark, PyTorch, an asset.
- Bilingualism (French / English) – Need to interact on a regular basis with colleagues across the country.
- No Canadian work experience required however must be eligible to work in Canada.
Profile Sought
- 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.
- A very good understanding of Machine Learning and Artificial Intelligence concepts, an asset.
- Experience leveraging an architecture framework / methodology such as TOGAF, an asset.
