Support Engineer: AI Voice & Network Infrastructure

About the Role

We’re seeking an experienced Systems Engineer to design, implement, manage and support modern endpoint management across Microsoft and Apple ecosystems with a strong focus on automation, operational excellence, and Dev Ops‑aligned practices. This role blends Intune engineering with automation/AI, CI/CD awareness, and continuous improvement in a multi‑customer environment.

• Design, implement, and maintain Microsoft Intune configurations for Windows and mobile devices
• Lead customer migration projects to Microsoft Intune
• Build, manage, and maintain:
  • Compliance policies
  • Configuration profiles
  • Endpoint security policies and baselines
  • Application deployments and assignments
• Troubleshoot enrollment, policy, and application delivery issues; perform root‑cause analysis and remediation
• Support Windows provisioning workflows, including Autopilot‑related processes

• Support and administer Apple Business Manager (ABM) integrations with Microsoft Intune
• Manage Apple enrollment workflows, including Automated Device Enrollment (ADE)
• Support VPP app procurement, assignments, and deployment troubleshooting
• Maintain and document repeatable enrollment standards and operational procedures for Apple devices

• Create and maintain automation for common Intune and endpoint management tasks
• Build scripts and repeatable processes to reduce manual portal work and improve consistency
• Apply Dev Ops principles to endpoint and infrastructure workflows, including:
  • Version controlled scripts and configurations
  • CI/CD style automation pipelines where appropriate
  • Standardized build, deployment, and configuration practices
• Build, maintain, and monitor configuration standards across customer environments
• Improve operational visibility and standardization through reporting, metrics, and structured outputs
• Collaborate with peers to test, validate, and continuously improve automation and operational designs

• Use AI tools to improve operations, documentation, troubleshooting, and customer outcomes
• Collaborate with teams exploring AI driven workflows and automation enhancements
• Contribute to or support initiatives using Microsoft Copilot, Connex AI, and/or Azure AI Foundry

• Produce internal documentation, runbooks, and customer
  ready guidance
• Partner with cross‑functional teams to support escalations and standardize best practices
• Provide technical guidance and knowledge sharing to support and engineering teams
• Contribute ideas and feedback to improve tooling, workflows, and service delivery

• Strong hands‑on experience with Microsoft Intune (MDM/MAM), including migrations, policy creation, app deployment, and troubleshooting
• Solid understanding of endpoint security concepts and compliance controls
• Strong troubleshooting skills with the ability to communicate clearly with both technical and non‑technical audiences
• Demonstrated ability to document processes and create repeatable operational standards
• Experience with automation and scripting (Power Shell, Git Hub, CI/CD and/or equivalent) with a mindset for continuous improvement
• Familiarity with Dev Ops concepts such as configuration management, automation pipelines, testing, and version control
• AI familiarity:
  Microsoft 365 Copilot (preferred), Copilot Studio (bonus), Connex
  
  AI (bonus), Azure AI Foundry (bonus), or similar AI platforms
• Interest in using AI to improve service delivery, documentation quality, and operational efficiency

• Experience in a managed services or multi‑customer environment
• Connect Wise Manage / Asio RMM experience
• MD-102 Certification
• Bachelor’s Degree
• Previous consulting experience
• Experience managing Apple devices using Apple Business Manager (ABM) & Intune

• High‑impact role with ownership over modern endpoint management strategy and execution
• Opportunity to build automation and operational improvements that scale across environments
• A team culture focused on continuous improvement, standardization, and smart use of emerging tools (including AI)