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Principal Software Developer – AI Data Architect

  • Toronto, ON
  • Hybrid
  • Posted Jun 29, 2026
  • 1 position

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Employment type
Full-time
Experience level
Lead · 10+ years
Posting language
English
Working hours
40 hours per week
Office presence
3 days per week

Job summary

Lead the technical vision and architectural strategy for Caseware's AI-Ready Data Platform to enable AI capabilities and secure interoperability. This includes defining data architecture patterns, mentoring development teams, and overseeing key platform projects like schema modernization.

Job details

Lead the technical vision and architectural strategy for Caseware's AI-Ready Data Platform to enable AI capabilities and secure interoperability. This includes defining data architecture patterns, mentoring development teams, and overseeing key platform projects like schema modernization. Requires 10+ years of experience in software development and data engineering, with at least 5 years in a senior leadership role. Candidates must have proven experience architecting production data workflows for AI, such as RAG and embedding pipelines, specifically within AWS environments.

What you’ll do

Lead the technical vision and architectural strategy for Caseware's AI-Ready Data Platform to enable AI capabilities and secure interoperability. This includes defining data architecture patterns, mentoring development teams, and overseeing key platform projects like schema modernization.

Requirements

Requires 10+ years of experience in software development and data engineering, with at least 5 years in a senior leadership role. Candidates must have proven experience architecting production data workflows for AI, such as RAG and embedding pipelines, specifically within AWS environments.

Benefits

  • Health Insurance
  • Retirement Plans
  • Flexible Work Options
  • Remote Opportunities
  • Generous Time-off Policies
  • Performance Bonuses
  • Career Growth Opportunities

Listed skills

  • Amazon Web Services · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • AI Data Architecture
  • Data Engineering
  • LLM Tooling
  • RAG Workflows
  • Cloud-Native Infrastructure
  • AWS
  • Data Modeling
  • Lakehouse Architecture
  • Vector Databases
  • ETL/ELT Pipelines
  • Data Governance
  • Technical Leadership
  • Distributed Processing
  • API Interoperability
  • Data Observability
  • DevOps

Job areas

  • Data & Analytics
  • Software
  • Technology
  • Engineering
  • Management & Leadership

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