Manufacturing AI & Automation Engineer

Manufacturing Ai & Automation Engineer

The Manufacturing AI & Automation Engineer is responsible for identifying, developing, and implementing artificial intelligence, digital automation, and intelligent manufacturing solutions across production and engineering operations. This role will focus on using AI to eliminate manual and clerical work, improve access to manufacturing knowledge, accelerate process documentation, enable paperless factory initiatives, optimize manufacturing processes, and develop intelligent automation solutions for production operations.

The Manufacturing AI & Automation Engineer will design, build, and deploy intelligent applications using large language models, pre-trained foundation models, automation platforms, data pipelines, and manufacturing systems to automate workflows and solve complex operational problems. Applications may include AI-assisted process documentation, intelligent document search and retrieval, automated engineering workflows, manufacturing knowledge management, process optimization, machining applications, automated inspection, production analytics, and factory automation.

The ideal candidate combines an understanding of manufacturing and engineering processes with practical experience applying AI and digital automation technologies to real-world problems.

Key Responsibilities

• Identify and lead opportunities to apply artificial intelligence, digital automation, and intelligent systems across manufacturing and engineering operations.
• Develop AI-enabled tools to automate repetitive engineering, manufacturing, quality, and clerical documentation activities.
• Develop solutions that support the transition toward a paperless factory, including digital workflows, electronic records, intelligent documentation, and automated information retrieval.
• Use AI to create, improve, standardize, and maintain work instructions, manufacturing procedures, process documentation, standard work, and other technical content.
• Develop intelligent search and knowledge-management systems that allow employees to quickly locate and retrieve relevant procedures, specifications, drawings, engineering documents, historical information, and manufacturing knowledge.
• Apply large language models and foundation models to manufacturing workflows using tools such as Claude and other enterprise AI platforms.
• Develop AI-assisted workflows that connect manufacturing information across systems and reduce manual data entry, document creation, transcription, searching, and administrative work.
• Identify opportunities to integrate AI with manufacturing equipment, automation systems, inspection processes, machining operations, and production data.
• Evaluate and implement AI applications for machine optimization, process parameter optimization, predictive analytics, anomaly detection, automated inspection, computer vision, and quality control.
• Identify opportunities for robotic, software, and digital process automation throughout manufacturing operations.
• Develop applications, scripts, integrations, or automated workflows connecting AI tools with manufacturing and business systems.
• Evaluate existing manufacturing processes and determine where AI or automation can improve cycle time, productivity, quality, cost, capacity, decision-making, and employee efficiency.
• Work with manufacturing, quality, operations, IT, and engineering teams to translate business and production problems into practical AI solutions.
• Develop proof-of-concept solutions and transition successful concepts into reliable production tools.
• Establish methods to validate AI-generated information and ensure appropriate accuracy, traceability, security, and human oversight.
• Develop standards and best practices for responsible use of AI within manufacturing and engineering operations.
• Train engineers, technicians, manufacturing personnel, and other users on newly implemented AI and automation tools.
• Track the effectiveness of implemented solutions and quantify improvements in productivity, quality, cost, and process efficiency.

Required Qualifications

• Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Systems…