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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Actalent - **Location:** Huntsville, AL, United States - **Experience:** Experienced - **Salary:** $135,200.0 - $156,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Databases, Computer Engineering, Operational Databases, Pattern Recognition, Power BI, SQL Databases, Diagnostic Tools, Scripting, Data Analytics, Tools for Reporting - **Published:** August 7, 2026 - **Apply:** https://www.careerjet.com/job/us826713a1433630e54d480819aa082edc/eaa ## About the Role * Bachelor's degree in Computer Engineering, Manufacturing, Industrial Engineering, or a related field. * 2+ years of experience in a manufacturing environment * Proven experience working in industrial or manufacturing environments. * Familiarity with manufacturing systems, machine data, IoT technologies, and operational analytics. * Demonstrated success leveraging AI, machine data, automation, or advanced analytics to improve manufacturing performance, reliability, quality, or operational efficiency. * Strong analytical and problem-solving skills with the ability to translate complex data into actionable operational improvements. * Experience with SQL for querying and managing structured data from manufacturing systems and databases. * Experience with Python for data analysis, scripting, and building analytics or AI-enabled solutions. * Experience with Power BI or similar analytics and reporting tools to create dashboards and visualizations for stakeholders. Additional Skills & Qualifications: * Experience developing machine monitoring dashboards and automated alerting systems. * Exposure to predictive maintenance concepts and methodologies, including failure pattern detection and condition-based monitoring. * Experience working on cross-functional teams that include operations, maintenance, engineering, and leadership stakeholders. * Ability to communicate complex technical and analytical concepts in a clear and practical way to non-technical audiences. * Interest in emerging AI, IoT, and advanced analytics technologies applied to manufacturing operations. ## Description This role focuses on using machine data, artificial intelligence, and process analytics to optimize manufacturing performance across multiple production facilities. The AI Process Engineer will drive AI-enabled operational improvement initiatives that enhance uptime, throughput, quality, and overall efficiency. Working closely with operations, maintenance, engineering, and leadership teams, this position will design and implement practical, data-driven solutions that deliver measurable business value in an industrial manufacturing environment. Responsibilities * Lead and support AI-enabled manufacturing optimization initiatives across production facilities, focusing on improving uptime, throughput, quality, and operational efficiency. * Support and advance machine analytics initiatives, including existing manufacturing intelligence projects such as Pocket Watch and related tools. * Develop and maintain machine monitoring dashboards that provide real-time visibility into equipment performance and key production metrics. * Create automated operational alerts that notify teams of anomalies, deviations, or performance issues to enable timely intervention. * Analyze machine, downtime, scrap, and production data to identify process improvement opportunities and recommend corrective actions. * Support predictive maintenance initiatives by analyzing machine data and identifying failure patterns to reduce unplanned downtime. * Assist in improving Overall Equipment Effectiveness (OEE) by optimizing equipment availability, performance, and quality output. * Contribute to increasing throughput, uptime, and quality performance through data-driven process improvements and AI-driven solutions. * Develop automated troubleshooting tools and process guidance systems to support manufacturing operators in resolving issues quickly and consistently. * Collaborate with operations and maintenance teams to optimize machine settings, maintenance scheduling, and overall production performance. * Support IoT and manufacturing data collection initiatives across plant operations, ensuring reliable and consistent data capture from equipment and systems. * Assist in developing operational key performance indicators (KPIs) and standardized manufacturing analytics frameworks to measure and track performance. * Work across multiple manufacturing facilities, traveling as needed to support operational initiatives, project implementation, and stakeholder collaboration. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [JavaScript? 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