Senior Solution Architect – Enterprise Data and AI Platform

Intact

Senior Solution Architect delivering transformative, secure, and scalable Data and AI solutions. Collaborating across teams to evolve enterprise platforms and architectures within Intact.

Posted 7/7/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$128,300 - CA$156,800 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerDynamoDBEC2InformaticaKubernetesVault

About the role

Key responsibilities & impact

Evolve the Enterprise Data and AI platform architectures, including integrations with corporate systems and market tools.
Contribute to and execute the Data & AI Strategy while defining and refining the Architecture patterns.
Design AI/ML and/or data product solution architectures (ex. feature stores, experimentation tracking, model serving, pipelines/orchestration).
Deliver architecture blueprints and implementation strategies that meet enterprise security and data protection standards; ensure alignment to corporate vision and objectives while proposing innovative approaches.
Collaborate with members of various technical teams, business teams and delivery teams to develop solutions that address key customer needs while adhering to EA principles and guidelines.
Lead risk and cost analyses, including build vs buy strategies.
Lead cross-team dependency management for complex migrations and platform transitions, drive standards and best practices.

Requirements

What you’ll need

10+ years in a Solution Architecture role
Passionate about creating responsive, highly resilient, secure, and scalable Data and AI architectures.
Experience architecting Data and AI platforms in the cloud (ex. AWS Lambda, S3, EC2, ECS, RDS, DynamoDB, API Gateway, ALB, CloudWatch).
Knowledge of ML/AI technologies (ex. Databricks, Snowflake, AWS SageMaker, VertexAI, etc.).
Knowledge of data modeling and analytics tooling: Snowflake, Data Vault, Informatica IICS, Power BI, etc.
Experience with generative AI platforms and frameworks (e.g., AWS Bedrock, OpenAI, LangChain, etc.).
Knowledge applying security principles (ex. compliance, authentication, authorization, monitoring, alerting).
Excellent leadership, mentorship, and collaborator; a catalyst for change who constructively challenges the status quo.
Experience with container-based technologies and orchestration (Docker, Kubernetes/OKE).
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

Comp & perks

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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Hard Skills & Tools

Solution ArchitectureData And AI PlatformsCloud TechnologiesMachine Learning/AI TechnologiesData ModelingAnalytics ToolingGenerative AI FrameworksSecurity PrinciplesContainer-Based TechnologiesOrchestration

Soft Skills

LeadershipMentorshipCollaborationChange Catalyst