Data & AI Architect
1 week ago
Job Title: Data & AI Architect
Location:
Toronto.
Work Mode:
Hybrid
Responsibilities:
Define enterprise data and AI strategies, designing scalable architectures for data warehouses, lakes, and intelligent analytical platforms. Lead modernization initiatives transforming legacy systems into cloud-native, AI-ready solutions. Establish data governance, ML Ops frameworks, and integration patterns for traditional analytics and generative AI applications across diverse client engagements.
You Will:
- Design end-to-end architectures spanning data platforms, analytics, and AI/ML systems from ingestion through model deployment
- Develop roadmaps for legacy modernization, cloud migration, and AI adoption including LLM integration strategies
- Define data and ML modeling standards, feature engineering patterns, and model governance frameworks
- Architect Gen AI solutions including RAG systems, agent frameworks, and enterprise knowledge bases with proper security controls
- Evaluate technology stacks for data pipelines, ML platforms, vector databases, and LLM orchestration tools
- Establish governance frameworks covering data quality, model monitoring, AI ethics, and responsible AI practices
- Create architectural blueprints, reference architectures, and technical specifications for hybrid data-AI solutions
- Provide thought leadership on AI/ML trends, emerging technologies, and industry convergence of analytics and intelligence
Qualifications/Requirements:
- 10+ years in data/analytics with 5+ years architecting solutions spanning traditional BI and AI/ML platforms
- Deep expertise in data warehousing, data lakes, and modern lake house architectures combined with ML Ops and AI infrastructure
- Strong knowledge of on-premise and cloud platforms (AWS, Azure, Snowflake, Databricks) plus AI services (Bedrock, Azure Open AI)
- Experience designing LLM applications, RAG architectures, vector search systems, and agentic AI workflows
- Understanding of ML lifecycle management, feature stores, model registries, and deployment patterns
- Proven track record architecting regulatory reporting, financial services, and AI-augmented analytical solutions
- Knowledge of AI governance, model explainability, bias detection, and responsible AI frameworks
- Exceptional communicator bridging business strategy, data engineering, and AI innovation for technical and executive audiences
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