Our team is seeking a Senior AI & Data Architect to join a forward-thinking innovation lab within a leading Canadian financial and insurance services institution. In this role, you will play a crucial part in designing robust technological frameworks that power both predictive machine learning models and cutting-edge generative AI applications. Working closely with cross-functional technical teams, you will help shape the future of enterprise data intelligence by driving scalable, secure, and modern cloud solutions.
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Advantages
High-Impact Projects: Lead architecture initiatives for advanced predictive ML and Generative AI systems.
Hybrid & Flexible Work Model: Modern office hubs available across Montreal, Laval, or Toronto.
Innovative Culture: Collaborative, tech-forward environment focused on continuous learning and automation.
Professional Growth: Opportunity to shape enterprise-grade cloud and AI architectures.
Responsibilities
Formulate blueprinted architectural strategies and target delivery models aligned with corporate objectives and strict data governance principles.
Modernize and optimize enterprise Data & AI platforms leveraging automation, zero-trust security practices, and operational governance.
Partner with Data Scientists, AI Developers, Business Analysts, and Enterprise Architects to translate complex business needs into resilient technical applications.
Guide the deployment of machine learning lifecycles and modern AI platform architectures within cloud environments.
Articulate and communicate intricate technical vision and system designs to both specialized teams and executive stakeholders.
Qualifications
Education & Background: Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Software Development Expertise: Minimum of 5 years of proven experience in hands-on software development.
Architecture Experience: At least 3 years dedicated to solution or application architecture roles.
Cloud & AI Stack: Deep familiarity with AWS ecosystem services (e.g., Lambda, S3, DynamoDB, API Gateway, CloudWatch, ECS/Fargate, AWS Bedrock).
Modern Operational Practices: Solid understanding of MLOps, DataOps, and DevSecOps principles.
Enterprise AI Tools (Assets): Hands-on exposure to Databricks, Snowflake, SageMaker, or Google Vertex AI is highly desirable.
Frameworks (Asset): Familiarity with enterprise architecture frameworks such as TOGAF.
Soft Skills: Exceptional organizational abilities, strategic prioritization skills, and strong business-to-tech translation capabilities.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Role: Senior AI & Data Architect
Location: Montreal, Laval (QC), or Toronto (ON)
Contract Duration: September 21, 2026 – March 26, 2027 (6 months)
Work Type: Hybrid / Contract
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our team is seeking a Senior AI & Data Architect to join a forward-thinking innovation lab within a leading Canadian financial and insurance services institution. In this role, you will play a crucial part in designing robust technological frameworks that power both predictive machine learning models and cutting-edge generative AI applications. Working closely with cross-functional technical teams, you will help shape the future of enterprise data intelligence by driving scalable, secure, and modern cloud solutions.
Advantages
High-Impact Projects: Lead architecture initiatives for advanced predictive ML and Generative AI systems.
Hybrid & Flexible Work Model: Modern office hubs available across Montreal, Laval, or Toronto.
Innovative Culture: Collaborative, tech-forward environment focused on continuous learning and automation.
Professional Growth: Opportunity to shape enterprise-grade cloud and AI architectures.
Responsibilities
Formulate blueprinted architectural strategies and target delivery models aligned with corporate objectives and strict data governance principles.
...
Modernize and optimize enterprise Data & AI platforms leveraging automation, zero-trust security practices, and operational governance.
Partner with Data Scientists, AI Developers, Business Analysts, and Enterprise Architects to translate complex business needs into resilient technical applications.
Guide the deployment of machine learning lifecycles and modern AI platform architectures within cloud environments.
Articulate and communicate intricate technical vision and system designs to both specialized teams and executive stakeholders.
Qualifications
Education & Background: Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Software Development Expertise: Minimum of 5 years of proven experience in hands-on software development.
Architecture Experience: At least 3 years dedicated to solution or application architecture roles.
Cloud & AI Stack: Deep familiarity with AWS ecosystem services (e.g., Lambda, S3, DynamoDB, API Gateway, CloudWatch, ECS/Fargate, AWS Bedrock).
Modern Operational Practices: Solid understanding of MLOps, DataOps, and DevSecOps principles.
Enterprise AI Tools (Assets): Hands-on exposure to Databricks, Snowflake, SageMaker, or Google Vertex AI is highly desirable.
Frameworks (Asset): Familiarity with enterprise architecture frameworks such as TOGAF.
Soft Skills: Exceptional organizational abilities, strategic prioritization skills, and strong business-to-tech translation capabilities.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Role: Senior AI & Data Architect
Location: Montreal, Laval (QC), or Toronto (ON)
Contract Duration: September 21, 2026 – March 26, 2027 (6 months)
Work Type: Hybrid / Contract
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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