Data & AI Architect

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