MatchBox Consulting is urgently seeking a Senior Azure Applications and AI Platform Specialist for a 12-month contract role with our Vancouver based public sector client. This role is 20-40 hours per week on an as needed basis and can be done fully remote.

Senior Azure Applications and AI Platform Specialist

About The Role

Our client is seeking a Senior Azure Applications and AI Platform Specialist to support ongoing projects. This role provides specialized knowledge and hands-on implementation and support for a secure, governed, and supportable AI platform built on a Microsoft Foundry landing zone. The ideal candidate is an experienced Azure practitioner with demonstrated delivery experience in enterprise AI environments.

Responsibilities

- Build security and privacy into every solution designed and implemented.
- Design, deploy, and integrate document extraction and processing solutions (e.g., Document Intelligence, OCR) that transform structured and unstructured PDFs into key-value JSON or similar formats.
- Assess the current Azure and AI environment, identify technical and security gaps, and recommend a practical target design and implementation sequence.
- Implement Entra ID authentication and single sign-on for AI-enabled applications, with secure authorization to downstream APIs and data sources.
- Configure Foundry resources, including hub-based projects where applicable, model and agent services, connections, deployments, networking, identity, monitoring, and governance controls.
- Build or guide integrations between Foundry services and approved enterprise applications, APIs, databases, document repositories, and search indexes.
- Validate quality, security, privacy, performance, availability, supportability,



and cost before production release.
- Produce architecture diagrams, configuration records, deployment instructions, runbooks, support procedures, decision logs, and knowledge-transfer materials.
- Coach internal application, infrastructure, security, and support teams, and lead a proper knowledge transfer and handoff to the operations team.

Required Experience

- 5+ years implementing solutions on Microsoft Azure, with responsibility for production architecture, security, integration, deployment, and operations
- Recent delivery of at least one production or production-ready Microsoft Foundry (Azure AI Foundry) solution
- Experience implementing enterprise SSO and application-to-application authorization using Entra ID and Microsoft identity platform standards
- Experience handling confidential, personal, or regulated information in Azure, applying privacy, security, audit, and data-governance controls
- Ability to work independently, explain technical options and risks clearly, collaborate with internal and vendor teams, and deliver complete operational documentation

Key Skills

- Azure platform: Subscriptions, resource groups, networking, private endpoints, DNS, Key Vault, Storage, App Service, Functions, API Management, databases, Azure Monitor, Application Insights, Log Analytics, backup, resiliency, and cost controls




- Identity and SSO: Entra ID, enterprise applications and app registrations, OAuth 2.0, OpenID Connect, SAML, managed identities, service principals, RBAC, Conditional Access, token claims, consent, and least-privilege access
- Microsoft Foundry and AI Hub: Designing, configuring, and supporting Foundry resources and hub-based projects, including connections, model deployments, quotas, access controls, network configuration, and workplace separation
- AI security and responsible AI: Data classification, privacy and residency, prompt-injection controls, content safety and guardrails, grounding, output validation, human oversight, logging, retention, threat modelling, abuse monitoring, and responsible AI reviews
- Secure integration: Integrating AI services with Microsoft and third-party applications via REST APIs, SDKs, API Management, messaging services, data connectors, and hybrid connectivity while protecting credentials and sensitive data
- Automation and deployment: Infrastructure as code (Bicep or Terraform) and CI/CD (Azure DevOps or GitHub Actions), including multi-environment deployments, testing, approvals, rollback, and release controls
- Production operations: Troubleshooting applications, identities, integrations, agents, indexes, endpoints, latency, capacity, model quality, token consumption, service limits, security events, and cost

Qualifications

- Microsoft Certified Azure AI Engineer Associate, or equivalent demonstrated experience
- One or more of: Azure Solutions Architect Expert, Azure Security Engineer, Azure Administrator, Azure Developer, DevOps Engineer, or Cybersecurity Architect certificati

📌 Senior Azure Applications and AI Platform Specialist (Montreal)
🏢 MatchBox Consulting Group
📍 Montreal