Job Description

Job Title: AI and Automation Engineer

Role Overview

The AI and Automation Engineer plays a key role in infrastructure management, leveraging AI, automation, and data analytics to enhance system performance, security, and operational efficiency. This role focuses on automating infrastructure tasks, optimizing cloud and on-premises environments, and enabling AI-driven decision-making using PowerShell, Python, Azure AI, Power Automate, M365 Copilot, machine learning, and data analytics in a Windows environment. The engineer will design and implement automation frameworks, predictive analytics models, and AI-powered insights to drive digital transformation in infrastructure projects.

Key Responsibilities

Automate infrastructure management tasks, including provisioning, configuration, monitoring, and patching using PowerShell, Python, and Azure AI.

Leverage AI and machine learning to enhance predictive maintenance, capacity planning, and fault detection in IT infrastructure.

Implement automated workflows for Windows, Azure, and Microsoft 365 environments using Power Automate and M365 Copilot.

Enhance infrastructure security and compliance by automating vulnerability detection, log analysis, and threat intelligence.

Optimize cloud and on-premises infrastructure by integrating AI-driven monitoring and performance analytics.

Develop and maintain self-healing automation solutions to improve infrastructure resilience and reduce downtime.

Utilize data analytics to generate actionable insights for infrastructure performance, asset management, and incident response.

Collaborate with IT teams to integrate AI-driven automation into infrastructure operations and streamline workflows.

Research and implement emerging AI and automation technologies to enhance infrastructure efficiency and reduce costs.

Required Skills & Experience


10+ years of IT experience, with a focus on infrastructure automation and management.

Proficiency in PowerShell and Python for scripting, automation, and AI integration.

Hands-on experience with Azure AI services, including Cognitive Services, OpenAI, and ML models.

Deep understanding of Windows Server, Active Directory, Group Policy, and cloud infrastructure (Azure/AWS).

Experience with machine learning frameworks like TensorFlow, PyTorch, or Azure ML for predictive infrastructure analytics.

Strong knowledge of Power Automate and M365 Copilot for workflow automation.

Experience with infrastructure monitoring tools such as Azure Monitor, Splunk, or Prometheus.

Strong problem-solving skills with an analytical mindset to enhance IT infrastructure operations.

Preferred Qualifications


Certifications in Microsoft Azure AI, Power Platform, or Infrastructure Management.

Experience with RPA tools like UiPath or Power Automate Desktop.

Knowledge of big data platforms, AI ethics, and data governance.

This role is critical for modernizing infrastructure management through AI, automation, and data-driven insights, ensuring high availability, security, and operational efficiency in IT infrastructure projects.