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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Group AI Technical Specialist - **Company:** Magna International, Inc. - **Location:** Lancaster, OH, United States - **Experience:** Expert - **Salary:** $31,200.0 - $58,240.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, Microsoft Azure, Big Data, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Modbus, MySQL, Message Queuing Telemetry Transport (MQTT), OLE for Process Control, Pattern Recognition, Tensorflow, Azure Machine Learning, SQL Databases, Systems Integration, Pytorch, Large Language Models, Deep Learning, Software Troubleshooting, Generative AI, Data Strategy, AI Platforms, Information Technology, Data Analytics, Operational Systems, Machine Learning Operations, Docker, Databricks, Programming Languages - **Published:** September 6, 2026 - **Apply:** https://www.jofdav.com/jobs/59586673-group-ai-technical-specialist ## About the Role * Bachelor's degree in computer science, Engineering, or related field. * Experience in integrating AI solutions with industrial automation, SCADA, MES, historian, or OT platforms. Ignition experience preferred * Strong proficiency in Ignition scripting (Python) and knowledge of Ignition modules (Vision, Perspective, Reporting, etc.). * Solid understanding of industrial automation protocols (OPC, Modbus, MQTT, etc.). * Experience with SQL databases (MySQL, MSSQL, PostgreSQL, etc.) and SQL query optimization. * Experience in manufacturing, industrial automation, data science, machine learning, or AI solution deployment. * Experience developing and deploying machine vision, deep learning, predictive analytics, or industrial AI solutions within manufacturing environments. * Experience with Python, Java, or other programming languages commonly used for AI/ML development. Experience with PyTorch, TensorFlow, Azure Machine Learning, Databricks, Docker, and related AI/ML platforms is preferred. * Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or Microsoft Azure AI services is considered an asset. * Strong problem-solving skills and the ability to work on complex, technical issues. * Knowledge of networking and IT infrastructure in industrial environments. * Strong troubleshooting, analytical, and problem-solving skills. * Ability to work both independently and as part of a collaborative team. * Excellent written and verbal communication skills. * Experience with big data technologies or data analytics * Available to work flexible hours as required * Willing to travel as required Awareness, Unity, Empowerment ## Description The Group AI Technical Specialist serves as the Subject Matter Expert for Artificial Intelligence and Machine Learning, responsible for building and driving the group-wide AI strategy, defining AI roadmaps, and championing cross-functional AI initiatives. This role provides technical leadership across manufacturing divisions including automated visual inspection, welding, assembly, robotics, controls, and operational technology (OT). This position supports all divisions by identifying opportunities to scale AI solutions that strengthen productivity, quality, traceability, and manufacturing performance, and acts as the strategic connector between group functions, manufacturing engineering teams, IT/OT, plant operations, and leadership to ensure responsible, secure, and value-driven AI adoption. Duties and Responsibility: * Develop and maintain the Group AI Strategy, ensuring alignment with divisional manufacturing and business priorities. * Build structured AI roadmaps that incorporate applications in visual inspection, welding analytics, assembly optimization, and OT-driven automation. * Define and enforce AI governance and ethical standards, including data privacy, cybersecurity, and validation frameworks. * Provide guidance to leadership on AI maturity, risks, and long-term capability development. * Lead the discovery, evaluation, and prioritization of AI opportunities in robotics, welding, visual inspection, assembly, and connected manufacturing systems. * Work with Plant Management teams to build business cases and ROI models for AI projects, considering plant, regional, and corporate objectives. * Oversee pilot deployments, technical reviews, capability assessments, and enterprise scaling. * Ensure AI projects follow standardized design approaches aligned with templates (e.g., documentation, testing, validation) * Serve as the enterprise subject matter expert for AI/ML, generative AI, machine vision, predictive analytics, and intelligent automation. Key Areas of Focus: * Automated visual inspection (Vision, defect detection, surface inspection). * Welding analytics (seam quality prediction, parameter optimization, anomaly detection). * Assembly processes (cycle-time prediction, torque/force pattern analysis, error-proofing with AI). * Operational Technology (OT) systems integration (SCADA, PLC data, historian systems). * Partner with OT/Controls teams to define requirements for data acquisition, model deployment, and edge compute. * Support MLOps practices for scalable deployment at plant and group levels. * Support plants and engineering teams in data strategy, model training, and production rollout. * Maintain a central library of AI project documents, requirements, and validation results similar in structure to the Ignition/AI Developer documentation style. * Stay current on emerging AI technologies, industrial automation trends, and OT cybersecurity standards. * Provide support and training to internal team members, as necessary. * Travel as required to the manufacturing divisions across the group, to new innovative suppliers, and to participate in workshops and training seminars ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Optimizing Land-Based Fish Feeding with Node-RED](https://www.wearedevelopers.com/videos/2032-optimizing-land-based-fish-feeding-with-node-red) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)