Data Analytics Software Engineer

Motive Workforce; Santa Clarita (CA); On-site; USD 52,000 - 68,000; Full time

Job summary

Motive Workforce seeks an entry-level IT Engineer to support AI-powered tools and enterprise software across the organization in California. You will help deploy, configure, and maintain AI services, focusing on secure integrations and smooth user adoption.

You\'ll collaborate with IT and other departments to understand needs, troubleshoot issues, document tool performance, and contribute to staff training while staying current with AI trends and cloud services.

Qualifications

• Foundational software engineering knowledge suitable for an IT Engineer role.
• Interest in AI technologies and cloud services.

Responsibilities

• Assist in deployment and configuration of AI services and software tools across departments.
• Support IT team in maintaining system performance and secure integration of AI tools.
• Collaborate with cross-functional teams to understand user needs and optimize AI tool usage.
• Monitor and document AI tool performance, user feedback, and system logs.
• Participate in training sessions and create user guides for staff adoption.
• Stay current with emerging AI, cloud, and enterprise software trends.

Skills

AI concepts

Software basics

Tech-savvy

Tools

Microsoft Copilot

Job description

We are seeking a motivated and tech-savvyEntry-Level IT Engineerto join our growing IT team. This role is ideal for someone with a foundational background in software engineering and a keen interest in artificial intelligence (AI) technologies. You will support the implementation, integration, and maintenance of AI-powered tools-such as Microsoft Copilot and other productivity-enhancing services-across our organization.

Key Responsibilities

• Assist in the deployment and configuration of AI services and software tools across departments.
• Support the IT team in maintaining system performance, troubleshooting issues, and ensuring secure integration of AI tools.
• Collaborate with cross-functional teams to understand user needs and optimize AI tool usage.
• Monitor and document AI tool performance, user feedback, and system logs.
• Participate in training sessions and create user guides to help staff adopt new technologies.
• Stay current with emerging trends in AI, cloud services, and enterprise software.