AI Automation Engineer

Role & responsibilities

1. REWST Automation Development

• Design, develop, and deploy automation workflows using the REWST platform.
• Build reusable automation components, workflows, and subflows.
• Develop automated workflows for ticket management, user onboarding/offboarding, Microsoft 365 administration, and IT infrastructure operations.
• Implement event-driven automation using triggers, conditions, and workflow logic.
• Optimize existing workflows to improve performance, reliability, and scalability.
• Troubleshoot and maintain existing REWST automation solutions.

2. AI-Powered Automation

• Integrate AI and Large Language Models (LLMs) into IT automation workflows.
• Develop AI-powered solutions for ticket classification, prioritization, summarization, and response generation.
• Implement AI-driven workflows for incident management and service desk operations.
• Explore and implement AI agents to automate repetitive IT support tasks.
• Integrate OpenAI or other AI APIs with REWST workflows.
• Build intelligent decision-making workflows using AI and automation logic.

3. API Integrations & Scripting

• Develop integrations between REWST and third-party IT platforms using REST APIs and webhooks.
• Work with JSON, XML, HTTP requests, and API authentication mechanisms.
• Create custom automation scripts using Python and PowerShell.
• Integrate tools such as Microsoft 365, Microsoft Entra ID, ConnectWise, Autotask, IT Glue, Hudu, NinjaOne, and other MSP platforms.
• Handle API authentication, error handling, logging, and response parsing.

4. MSP & IT Operations Automation

• Automate common MSP service desk workflows.
• Develop automated processes for:
• User onboarding and offboarding.
• Password resets and account management.
• Microsoft 365 license management.
• Active Directory and Entra ID administration.
• Ticket creation, updates, and escalation.
• Device management and monitoring alerts.
• Backup monitoring and reporting.
• Security alert triage and notification.
• Identify repetitive operational tasks and convert them into automated workflows.

5. Documentation & Continuous Improvement

• Maintain documentation for automation workflows, integrations, and processes.
• Monitor workflow execution and troubleshoot failures.
• Maintain security best practices for credentials, API keys, and access permissions.
• Collaborate with IT engineers, service desk teams, and automation stakeholders.
• Continuously identify opportunities to improve automation coverage and operational efficiency.