Manager, AI and Automation

Manager, AI & Automation Solutions DesignLaine Recruiting is partnering with a well-established, growth-oriented manufacturing organization to identify a Manager of AI & Automation Solutions Design. This is a high-impact leadership role for someone who can bridge strategy and execution to build and scale enterprise AI capabilities in a practical, business-driven way.Our client has been named a "Best of the Best" in the Best workplaces in the America's awards for 12 years in a row!This person will play a central role in shaping how AI, generative AI, automation, and advanced analytics are used across the organization. The right candidate will be equally comfortable setting direction, partnering with business leaders, and guiding the design and deployment of scalable solutions that drive measurable operational value.This is an opportunity to join a company that is investing meaningfully in innovation and looking for a leader who can help move AI from concept to real-world impact across operations, engineering, supply chain, commercial functions, and corporate teams.What you'll doBuild and help lead the organization's AI and generative AI strategy, roadmap, and operating model Identify high-value use cases where AI, automation, and analytics can improve efficiency, quality, decision-making, and customer experience Design and guide the implementation of enterprise AI solutions from concept through production Partner cross-functionally with technical and business teams to ensure solutions are practical, scalable, secure, and aligned with business priorities Evaluate emerging technologies and recommend where they can create real business value Lead development of AI-enabled applications such as copilots, intelligent assistants, knowledge tools, document automation, and insight-generation workflows Help establish standards around governance, responsible AI, risk management, and safe enterprise adoption Support AI platform strategy across key tools and environments, including cloud and enterprise productivity ecosystems Drive adoption through training, stakeholder engagement, and AI literacy efforts Define success metrics and help ensure solutions are operationalized, monitored, and continuously improved over timeWhat We're Looking ForBachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a related field 7+ years of experience in AI/ML engineering, advanced analytics, data-driven software development, or related technical environments 3+ years of experience leading technical teams, architecting enterprise solutions, or driving complex cross-functional technology initiatives Strong understanding of machine learning, large language models, natural language processing, deep learning, data engineering, and automation technologies Hands-on experience with modern AI and cloud platforms such as Azure ML, Databricks, Azure OpenAI, OpenAI API, AWS AI services, or similar tools Proven ability to translate business needs into scalable technical solutions and move initiatives from concept through implementation Experience designing AI or GenAI applications such as copilots, intelligent assistants, document automation workflows, knowledge tools, or insight-generation solutions Strong communication and stakeholder management skills, with the ability to explain technical concepts clearly to business leaders, operators, and non-technical teams Ability to balance strategy and execution, including roadmap development, prioritization, governance, and delivery oversight Experience working across complex business environments where adoption, change management, and cross-functional alignment are critical to successPreferred QualificationsExperience deploying AI, GenAI, or LLM-based applications in manufacturing, industrial, or other operationally complex environments Experience with MLOps, retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, and model evaluation frameworks Familiarity with Responsible AI practices, including governance, privacy, risk controls, and safe enterprise adoption Experience helping build or scale an internal AI function, center of excellence, or hybrid business-technology team Cloud certifications in Azure, AWS, or GCPCompensationBase Salary: $160,000 - 180,000Bonus: Up to 20% Excellent benefits and PTO401(k) plans and tuition reimbursement programs