AI Implementation Engineer

1 day ago

Vancouver, British Columbia, Canada Tribe Management inc Full time
AI Implementation Engineer (Azure AI, Agents & Automation)
Location: Vancouver, BC (Hybrid)
Type: Full-time, Permanent
Reports to: VP of Engineering

About Tribe
Tribe Property Technologies is modernizing one of Canada's most traditional industries — property management — through technology and community-driven innovation. Our platform, Tribe Home, connects residents, managers, and service providers in one ecosystem.

We're now taking the next leap: embedding AI and automation across Tribe as a whole (internal operations and customer-facing experiences) while keeping security, reliability, and Canadian data residency front and center.

The Role
We're looking for a hands-on AI Implementation Engineer to help us design, improve, and deploy production-grade AI systems and automations across Tribe. This role spans both internal automation and customer-facing AI:
  • Internal: high-impact workflow automation that reduces friction for staff
  • Customer-facing: AI capabilities embedded into Tribe Home that improve the community management experience and resident service
  • Work in a modern Azure-based environment (Azure SQL, .NET, React, SQL Server, MongoDB).
  • Build solutions using:
    • Azure AI Foundry / Azure OpenAI
    • Copilot Studio Power Automate
    • Microsoft Fabric (Lakehouse and data readiness)
  • Leverage MCP (Model Context Protocol) to integrate and orchestrate AI capabilities across systems.
What Success Looks Like
In the first 90 days
  • Review our existing AI implementations in Azure and identify architecture reliability improvements
  • Implement key improvements (patterns, guardrails, observability, integration approach)
  • Deliver a clear strategy to support the next 12–24 months of goals
  • Ship one high-value internal automation that meaningfully reduces time and friction for staff
In 12 months (home run)
  • Be a key designer and implementer of Tribe's AI systems (internal Tribe Home)
  • Establish reusable implementation patterns (including MCP tool patterns) the team can follow
  • Deliver multiple meaningful automations and AI features with measurable outcomes
  • Raise the bar on AI reliability (testing, evaluation, monitoring) across what we build
What You'll Do
  • Evaluate and improve existing AI architecture and implementations in Azure (reliability, scalability, security, cost)
  • Build RAG (retrieval-augmented generation) and agentic workflows that safely take actions with appropriate guardrails
  • Design and implement AI orchestration using Azure AI Foundry / Azure OpenAI, and integrate with Power Automate / Copilot Studio where it makes sense
  • Extend and operationalize our MCP server as a tools abstraction layer:
    • design MCP tools over APIs/legacy systems
    • enforce permissions, auditability, and safe action patterns
  • Work with Product and Engineering to deliver customer-facing AI in Tribe Home (e.g., ticket triage/summarization, knowledge retrieval over documents)
  • Identify and implement high-value internal automations (approvals, routing, document-triggered workflows, reporting)
  • Contribute to data readiness work (Fabric/Lakehouse exposure, data quality expectations, AI-ready datasets)
  • Implement AI reliability practices:
    • prompt/context patterns, evaluation, human-in-the-loop design, monitoring/telemetry
  • Collaborate with IT, Operations, and Service Delivery as secondary partners to ensure solutions work in real workflows
  • Mentoring is valuable but secondary; we primarily need a strong builder who can also guide patterns by example.
What You Bring
Required
  • 4 years in software engineering, automation engineering, or similar (strong "builder" track record)
  • Experience with .NET and C# in production environments
  • Proven experience implementing AI systems using Azure OpenAI / Azure AI services (or equivalent production LLM systems)
  • Strong integration skills: APIs, authentication, data access patterns, event-driven workflows
  • Experience building RAG systems and/or agentic workflows with clear reliability and safety patterns
  • Comfort writing code to solve orchestration and integration problems (not low-code only)
  • Experience with Power Automate and/or Copilot Studio (or ability to ramp quickly)
  • Practical knowledge of AI pitfalls: hallucinations, prompt brittleness, tool misuse, data quality dependency, governance
Nice to Have
  • Microsoft Fabric / Lakehouse exposure; basic data modeling and analytics awareness
  • Experience with SQL Server, MongoDB, Azure DevOps, Graph Databases
  • Experience with AI evaluation/observability tools and practices
  • Familiarity with vector search / knowledge retrieval patterns (e.g., Azure AI Search)
  • Data science experience (helpful, not required)
Why You'll Love Working Here
  • You'll build foundational AI systems and patterns that shape how Tribe operates
  • High leverage: your work directly reduces operational drag and improves customer experience
  • Small team, real ownership: ship end-to-end and see impact quickly
  • Hybrid flexibility based in Vancouver HQ
  • Generous PTO

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