AI - Data Architect

Our client, a premier Canadian leader in the property and casualty insurance sector, is seeking a high-caliber Senior AI & Data Architect to spearhead the evolution of their modern cloud analytics and artificial intelligence infrastructure. In this pivotal technical position, you will establish forward-looking architecture patterns, design scalable cloud data foundations, and build robust Machine Learning and Generative AI pipelines that drive digital innovation across business units.

Advantages
Strategic Modernization: Influence enterprise-scale MLOps, LLM implementations, and real-time cloud data architectures from the ground up.

Balanced Work Environment: Enjoy a flexible hybrid model requiring only 2 days per week in-office (Montreal or Toronto).

High-Impact Collaboration: Partner directly with multidisciplinary data science, engineering, and executive leadership teams across the country.

Continuous Innovation: Lead research into cutting-edge technologies, including agentic AI frameworks, serverless orchestration, and automated cloud infrastructure.

Responsibilities
Formulate and govern enterprise Data and AI architectural roadmaps, establishing blueprint standards across multi-cloud environments, serverless computing, and event-driven systems.

Architect and deploy scalable AI/ML solutions, model-serving patterns, feature stores, experiment tracking frameworks, and automated orchestration pipelines.

Evaluate emerging technologies—including Large Language Models (LLMs), agentic frameworks, and Infrastructure as Code (IaC)—to modernize platform capabilities.

Perform build-versus-buy analyses, cost optimization models, security assessments, and risk mitigation strategies for next-generation systems.

Facilitate alignment across software engineering, DevSecOps, and analytics groups to ensure resilient, secure, and fully observable platform operations.

Qualifications
10+ years of proven expertise in Solution Architecture with a focus on enterprise Cloud Data and AI ecosystems (AWS native services including compute, storage, serverless, and managed ML services).

Demonstrated experience establishing MLOps ecosystems, model lifecycle governance, and serverless hosting utilizing platforms like Amazon SageMaker, Databricks, or similar environments.

Deep understanding of modern analytics tools, data modeling techniques (e.g., Data Vault, Iceberg), event-driven streaming, and enterprise BI solutions.

Hands-on exposure to Generative AI architectures (e.g., Bedrock, OpenAI, Mosaic AI) alongside orchestration frameworks and libraries (e.g., LangChain, PyTorch, Spark).

Solid track record implementing DevSecOps practices, infrastructure automation (Terraform), container orchestration (Docker, Kubernetes), and robust enterprise security controls.

Industry background in property and casualty insurance (e.g., claims, policy, underwriting, or telematics domain knowledge) is a strong asset.

TOGAF or cloud vendor architecture certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) are highly desirable.

Fluent bilingualism in French and English is mandatory due to regular interactions with stakeholders across Canada.

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
Location: Montreal, QC or Toronto, ON (Hybrid — 2 days/week in office)

Duration: 6-Month Initial Contract (Possibility of extension)

Engagement Type: IT Consulting 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.