Enterprise Architect – MapleRecord (AI-Enabled SaaS)

Role Overview

Canada-first, AI-enabled Records Management and Information Governance platform

not about heavy coding

Key Responsibilities

• Design and maintain

  end-to-end enterprise architecture

  (frontend, backend, AI, data, integrations)
• Define architecture standards, patterns, and guardrails for the platform
• Design AI use cases such as document classification, metadata extraction, and intelligent automation
• Guide Python backend and React frontend teams on architectural decisions
• Review solution designs and ensure alignment with approved architecture
• Collaborate with product, business, and engineering stakeholders
• Ensure scalability, security, auditability, and public-sector compliance
• Support long-term roadmap and future AI capabilities

Required Skills & Experience

• Strong understanding of

  Python backend

  and

  React frontend

  architecture
• Experience designing

  enterprise or SaaS application architectures

• Ability to translate business requirements into technical architecture
• Experience defining APIs, integration patterns, and data flows
• Comfortable enforcing standards and guiding teams without micromanaging
• Strong communication and design documentation skills

Nice to Have

• Experience designing or integrating

  AI / ML solutions

• Exposure to public sector, compliance, or data-governance domains
• Cloud-native architecture experience (AWS / Azure / GCP)

What We’re Looking For

• Architecture mindset over coding depth
• Someone who can

  design the blueprint and ensure teams follow it

• Practical, scalable thinking with future-ready AI vision

Experience Level

Mid-to-Senior (architecture capability matters more than years)