GenAI Architecture Leader & Platform Innovator

Apptoza Inc.; Canada; On-site; CAD 150,000 - 210,000; Full time

Job summary

Apptoza Inc. in Canada is seeking a Principal AI Solution Architect to own end-to-end GenAI and agentic AI platform architecture for a portfolio of solutions.

This hands-on role covers research, spikes, reference implementations, and production-grade code contributions. The ideal candidate will combine expertise in Python, Azure, Databricks, and intelligent automation with strong governance, observability, and cross-team collaboration to deliver scalable, reusable platform patterns from

Qualifications

• Must have architecture ownership for GenAI, RAG, or intelligent automation systems in complex enterprises.
• Hands-on Python and API-based solution development with production-quality code experience.
• Contributed to shared AI platforms with reference implementations, reviews or tests.
• Ability to validate architecture via Azure and Databricks environments with working code.
• Knowledge of Microsoft AI ecosystem, Azure Foundry capabilities, and related production experience.
• Proven track record delivering end-to-end GenAI platform patterns in production.
• Experience reviewing code across teams and translating findings into concrete changes.
• Depth across app, data, cloud, security and operations beyond just model selection.

Skills

GenAI architecture

Python

API-based development

Code reviews

Azure ecosystem

Databricks platform

Production-grade deployment

Distributed systems

Observability and governance

Tools

Azure

Databricks

CI/CD pipelines

Job description

Apptoza Inc. in Canada is seeking a Principal AI Solution Architect to own end-to-end GenAI and agentic AI platform architecture for a portfolio of solutions.

This hands-on role covers research, spikes, reference implementations, and production-grade code contributions. The ideal candidate will combine expertise in Python, Azure, Databricks, and intelligent automation with strong governance, observability, and cross-team collaboration to deliver scalable, reusable platform patterns from