Senior Solution Architect - Enterprise Data and AI platform
$128,300–$156,800 year
Hybrid · Toronto, Ontario, Canada or Montréal, Quebec, Canada
Job Summary
Senior Solution Architect - Enterprise Data and AI platform to lead evolution of the Enterprise Data and AI platform architectures, drive strategy, and deliver architectures for AI/data products (e.g., feature stores, experimentation tracking, model serving, pipelines/orchestration). Responsibilities include designing AI/ML and data product solution architectures, delivering blueprints and implementation strategies that meet security/data protection standards, collaborating with cross-functional teams, leading risk and cost analyses, and managing complex migrations/platform transitions. Requires 10+ years in a solution-architecture role, cloud-data/AI platform experience, knowledge of ML/AI tools, data modeling tools, security principles, and experience with containers/orchestration. For candidates located in Quebec, bilingualism is required. No sponsorship required; eligible to work in Canada. Hybrid work model.
Required Qualifications
- 10+ years of Solution Architecture experience
- Experience architecting Data and AI platforms in the cloud (examples: AWS Lambda, S3, EC2, ECS, RDS, DynamoDB, API Gateway, ALB)
- Knowledge of ML/AI technologies (Databricks, Snowflake, AWS SageMaker, VertexAI)
- Knowledge of data modeling and analytics tooling (Snowflake, Data Vault, Informatica IICS, Power BI)
- Experience with generative AI platforms/frameworks (AWS Bedrock, OpenAI, LangChain)
- Security principles (compliance, authentication, authorization, monitoring, alerting)
- Leadership and collaboration across technical/business/delivery teams
- Container technologies and orchestration (Docker, Kubernetes)
- Proficiency in English; bilingualism for Quebec region
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