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AI & Automation Engineer

Who We Are; What We Do; Where We’re Going

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Magnetforensics Source published Sep 14, 2026 Verified 5 days ago
✓ 100% verification score · Source: Magnetforensics (lever) · Always confirm final requirements on the original source.
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Overview

Who We Are; What We Do; Where We’re Going

Full job description

Who We Are; What We Do; Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

Role Summary Reporting to the VP, Business Systems, the AI & Automation Engineer is the primary technical person for applying AI and automation to processes performed across Business Systems which includes Business Applications, Data & Analytics, and IT. The role works with the leaders of each team and independently to identify high-volume, repetitive, and manual work within these teams, then builds, tests, and deploys automations and AI-enabled workflows that reduce manual effort and return capacity to higher-value work. Working across enterprise platforms, workflow automation tools, and AI services, the AI & Automation Engineer translates business processes into reliable, observable, and well-governed solutions, including clear ownership, error handling, human-in-the-loop escalation, and measurable outcomes.

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