Automation & AI Tech Consultant — Telecom

TELUS Digital

Vancouver

On-site

CAD 84,000 - 105,000

Full time

11 days ago

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Job summary

TELUS Digital in Vancouver is seeking an experienced telecom AI/automation engineer to lead automation initiatives within TELUS Managed Services, collaborating with network engineers and analysts to translate complex requirements into scalable AI/automation workflows.

The role combines hands-on development in Python/JavaScript, API integrations, Linux/Windows, virtualization, and container platforms, with leadership on automation projects and mentoring teammates.

Qualifications

  • 5+ years in telecom engineering or AI solutions
  • Bachelor or Master in Engineering or Computing
  • Experience leading automation projects
  • Knowledge of ITSM (ServiceNow) and cloud AI

Responsibilities

  • Configure, test, optimize and manage management and monitoring tools for TELUS Managed Services.
  • Assist with the configuration, changes, updates, and deployment of new use cases for our AIOPS platform.
  • Perform routine MCP development & maintenance to ensure seamless communication between AI models and underlying data systems.
  • Collaborate with network engineers, business analysts, and architects to translate managed services requirements into actionable AI/Automation workflows.
  • Build and maintain Automation workflows that reduce repeated tasks across the TELUS Managed Services environment.
  • Provide technical guidance and troubleshooting support to a team of technology professionals working on TELUS Managed Services.

Skills

Telecom engineering
Automation experience
Python/JavaScript
API integrations
Linux/Windows
Virtualization
Containers
NOC workflows
AI technologies
Team leadership
Security clearance

Education

Engineering degree

Job description

TELUS Digital in Vancouver is seeking an experienced telecom AI/automation engineer to lead automation initiatives within TELUS Managed Services, collaborating with network engineers and analysts to translate complex requirements into scalable AI/automation workflows.

The role combines hands-on development in Python/JavaScript, API integrations, Linux/Windows, virtualization, and container platforms, with leadership on automation projects and mentoring teammates.

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