AI & Automation Engineer

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. ### What You'll Do • Work with the leaders of Business Applications, Data & Analytics, and IT to identify high-volume, repetitive, and manual processes that are strong candidates for automation or AI enablement. • Document current-state workflows, including inputs, decision points, exceptions, systems involved, effort consumed, and risks. • Assess each opportunity for feasibility, complexity, expected benefit, and risk, and recommend whether to proceed, defer, or solve through process change instead of automation. • Recommend the appropriate approach for each use case, including workflow automation, integration, AI-enabled reasoning, or a combination, based on complexity, maintainability, security, and supportability. • Design, develop, configure, and integrate automation solutions across enterprise platforms, workflow automation tools, APIs, and AI services. • Develop and execute test plans covering functional accuracy, exception handling, failure modes, and edge cases prior to deployment. • Deploy solutions into production following established change management, approval, and release practices and validate against the intended outcome before transitioning to the process owner(s). • Produce complete handoff documentation, including process maps, solution design, configuration details, dependencies, failure modes, troubleshooting steps, and support requirements. • Deliver knowledge transfer and training to the owning team so they can operate, support, monitor, and maintain the solution independently. • Report progress, results, and benefits to the VP, Business Systems and the three team leaders. • Stay current on AI and automation capabilities and recommend where new tools or approaches could be applied. • Other duties as required. ### What We're Looking For **AI Capability** • Practical experience applying AI to real business workflows, including handling unstructured inputs, classification, summarization, extraction, or drafting. • Hands-on experience with AI development tools such as Claude Code, Cursor, or similar platforms • Hands-on experience with AI Enterprise Platforms such as Claude, Copilot, Gemini or similar platforms • Ability to evaluate where AI genuinely adds value versus where conventional automation or process change is the better answer. • Awareness of AI risks and limitations, including accuracy, data handling, access boundaries, and appropriate use. **Education and Work Experience** • Bachelor's degree or diploma in information technology, computer science, engineering, data, or a related field, or equivalent practical experience. • 4+ years of experience designing, building, and deploying automation or integration solutions in a business or enterprise environment. • Demonstrated experience delivering solutions that measurably reduced manual effort, cycle time, or request volume. • Experience working across multiple business functions or technical teams, rather than within a single system or platform. • Hands-on experience with workflow automation platforms such as Microsoft Power Automate, Zapier, Workato, or comparable tools. • Experience integrating systems using APIs, MCPs, webhooks, and structured data exchange. • Working proficiency in at least one scripting or programming language commonly used for automation, such as Python, PowerShell, JavaScript/TypeScript, C#, or Bash, along with working knowledge of SQL and structured data formats such as JSON and YAML. • Familiarity with enterprise business platforms, service management tools, and data platform such as Jira Service Management, Salesforce, NetSuite, Microsoft 365. • Experience reviewing business or operational processes and identifying opportunities for automation, simplification, or standardization. • Experience developing and executing test plans covering functional accuracy, exceptions, and failure modes. • Experience with change management, approval, and release practices in an enterprise environment. • Ability to manage a pipeline of work independently, prioritize competing requests, and move work forward with limited day-to-day direction. • Proven ability to produce clear technical and process documentation, including workflow diagrams, solution designs, test plans, and support materials. • Strong communication skills, with the ability to explain automation and AI concepts in plain language to both technical and non-technical audiences. • Strong analytical thinking, problem-solving, and troubleshooting skills. • Ability to collaborate effectively with process owners, technical teams, and leaders, and to incorporate feedback without losing sight of the objective. **Working Conditions** • General office environment or work-from-home office environment. • May be required to work outside standard business hours during implementation, testing, deployment, transitioning activities or troubleshooting incidents or issues. • May be required to travel occasionally to meet the responsibilities of the position.