Artificial Intelligence Engineer

A growing advanced manufacturing organization is seeking an experienced AI Engineer to help lead enterprise AI adoption initiatives within a highly regulated environment. This role focuses on designing, developing, and deploying scalable AI and machine learning solutions that improve operational efficiency, business processes, and data-driven decision making. This position offers the opportunity to influence AI strategy, architect enterprise-grade AI systems, and collaborate cross-functionally with engineering, operations, and technology teams. Key Responsibilities Drive AI strategy and support enterprise AI adoption initiatives. Design secure, scalable, and responsible AI architectures within regulated environments. Integrate AI solutions with existing enterprise systems and infrastructure. Develop end-to-end AI and machine learning solutions from proof of concept through production deployment. Architect data pipelines and workflows for structured, semi-structured, and unstructured data sources. Collaborate with stakeholders across engineering, operations, and support functions to identify high-value AI use cases. Design and deploy GenAI-enabled applications and intelligent automation solutions. Ensure alignment with enterprise data governance, retention, and compliance standards. Apply analytical and data science methodologies to solve business problems and improve operational efficiency. Utilize lean and continuous improvement principles to optimize processes. Qualifications Education & Experience Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field. 5+ years of experience deploying AI/ML solutions at scale. Technical Skills Experience with Generative AI, AI agents, and/or reinforcement learning. Experience with major machine learning frameworks and AI platforms. Experience developing and deploying machine learning solutions into production environments. Familiarity with NLP and document AI technologies. Strong understanding of data modeling, data architecture, metadata management, and data integration patterns. Experience handling unstructured data including text, images, and video. Strong analytical and problem-solving abilities. Preferred Experience Experience in regulated manufacturing, aerospace, defense, or industrial environments. Familiarity with MES, ERP, quality systems, or manufacturing data ecosystems. #J-18808-Ljbffr Aegis Worldwide