Our client, an established industry leader in the financial services and insurance sector, is seeking an experienced AI & Data Architect to spearhead the evolution of its enterprise cloud platforms. In this role, you will define and execute data and artificial intelligence strategy, design secure architecture patterns, and build modern frameworks across MLOps, generative AI, and cloud environments. Working alongside cross-functional engineering and business teams, you will serve as a technical authority who translates complex strategic vision into high-performing, resilient, and scalable technical solutions.
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Advantages
Competitive Compensation
Impactful Work: Drive the architectural roadmap for next-generation generative AI, MLOps, and enterprise cloud data structures.
Hybrid Work Model: Flexible split between remote work and office presence in Montreal or Toronto.
Strong Team Culture: Collaborate with high-performing, innovative technical teams committed to continuous learning and modern DevSecOps practices.
Contract Potential: 6-month initial engagement with high probability of extension.
Responsibilities
Formulate and refine enterprise Data & AI blueprints, target architectures, integration roadmaps, and platform governance models.
Partner with engineering, business, and delivery stakeholders to deliver cloud-native solutions that respect enterprise security frameworks and Enterprise Architecture guidelines.
Design end-to-end Machine Learning and AI hosting infrastructure, including model lifecycle pipelines, feature stores, and experimentation tooling across SageMaker and Databricks ecosystems.
Drive technology evaluations and feasibility analyses (e.g., build-vs-buy, serverless, event-driven, generative AI frameworks, and Infrastructure as Code).
Embed DevSecOps, modern telemetry, and MLOps practices into all target designs while managing complex dependencies across legacy and modern platforms.
Perform risk management and cost-optimization analysis to guide cloud investments and infrastructure decisions.
Qualifications
Experience: 10+ years of proven expertise in Solution, Data, or Cloud Architecture roles within complex enterprise environments.
Cloud & AI Mastery: Practical background designing data and machine learning platforms using cloud services (e.g., AWS serverless, container orchestration, S3, RDS, SageMaker) and advanced AI frameworks (e.g., LangChain, LangGraph, OpenAI, Bedrock, Mosaic AI).
Data Ecosystems: Hands-on experience with modern data processing platforms, lakes, and analytics tools (e.g., Databricks, Snowflake, Apache Spark, Iceberg, Data Vault, PyTorch).
Delivery & Governance: Solid understanding of Agile delivery, TOGAF (or equivalent architecture frameworks), container orchestration (Docker, Kubernetes), and IaC (Terraform).
Soft Skills: Exceptional leadership, stakeholder management, and communication skills with a track record of driving change and fostering cross-team consensus.
Domain Knowledge: Prior exposure to core insurance domain processes (claims, billing, policy management, telematics, or customer analytics) is a strong asset.
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 / Toronto, ON (Hybrid)
Position Type: Contract (Contract-to-hire potential)
Duration: September 14, 2026 – March 01, 2027 (Extension potential)
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 client, an established industry leader in the financial services and insurance sector, is seeking an experienced AI & Data Architect to spearhead the evolution of its enterprise cloud platforms. In this role, you will define and execute data and artificial intelligence strategy, design secure architecture patterns, and build modern frameworks across MLOps, generative AI, and cloud environments. Working alongside cross-functional engineering and business teams, you will serve as a technical authority who translates complex strategic vision into high-performing, resilient, and scalable technical solutions.
Advantages
Competitive Compensation
Impactful Work: Drive the architectural roadmap for next-generation generative AI, MLOps, and enterprise cloud data structures.
Hybrid Work Model: Flexible split between remote work and office presence in Montreal or Toronto.
Strong Team Culture: Collaborate with high-performing, innovative technical teams committed to continuous learning and modern DevSecOps practices.
Contract Potential: 6-month initial engagement with high probability of extension.
Responsibilities
...
Formulate and refine enterprise Data & AI blueprints, target architectures, integration roadmaps, and platform governance models.
Partner with engineering, business, and delivery stakeholders to deliver cloud-native solutions that respect enterprise security frameworks and Enterprise Architecture guidelines.
Design end-to-end Machine Learning and AI hosting infrastructure, including model lifecycle pipelines, feature stores, and experimentation tooling across SageMaker and Databricks ecosystems.
Drive technology evaluations and feasibility analyses (e.g., build-vs-buy, serverless, event-driven, generative AI frameworks, and Infrastructure as Code).
Embed DevSecOps, modern telemetry, and MLOps practices into all target designs while managing complex dependencies across legacy and modern platforms.
Perform risk management and cost-optimization analysis to guide cloud investments and infrastructure decisions.
Qualifications
Experience: 10+ years of proven expertise in Solution, Data, or Cloud Architecture roles within complex enterprise environments.
Cloud & AI Mastery: Practical background designing data and machine learning platforms using cloud services (e.g., AWS serverless, container orchestration, S3, RDS, SageMaker) and advanced AI frameworks (e.g., LangChain, LangGraph, OpenAI, Bedrock, Mosaic AI).
Data Ecosystems: Hands-on experience with modern data processing platforms, lakes, and analytics tools (e.g., Databricks, Snowflake, Apache Spark, Iceberg, Data Vault, PyTorch).
Delivery & Governance: Solid understanding of Agile delivery, TOGAF (or equivalent architecture frameworks), container orchestration (Docker, Kubernetes), and IaC (Terraform).
Soft Skills: Exceptional leadership, stakeholder management, and communication skills with a track record of driving change and fostering cross-team consensus.
Domain Knowledge: Prior exposure to core insurance domain processes (claims, billing, policy management, telematics, or customer analytics) is a strong asset.
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 / Toronto, ON (Hybrid)
Position Type: Contract (Contract-to-hire potential)
Duration: September 14, 2026 – March 01, 2027 (Extension potential)
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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