AI & Data Engineer - Manufacturing Quality

Ingenics Corporation is seeking an AI & Data Engineer for Manufacturing Quality to turn manufacturing and quality data into actionable insights. The position will focus on building analytics and AI agent workflows that support early detection of quality issues, root-cause understanding, and data-driven decision-making.

Responsibilities

• Analyze large manufacturing and quality datasets to identify defect trends, correlations, anomalies, and root causes.
• Develop interactive dashboards, automated reports, and analytics solutions using Python, SQL, Power BI, and Microsoft Fabric.
• Design, develop, and deploy AI agents that analyze quality data, answer technical questions, generate reports, and support engineering decisions.
• Integrate AI solutions with manufacturing databases, quality management systems, and enterprise data sources.
• Automate quality monitoring, defect analysis, root-cause investigations, and early-warning detection.
• Use machine learning, statistical methods, and predictive analytics to identify patterns and improvement opportunities.
• Collaborate with Quality, Production, Engineering, and IT teams to translate business challenges into practical AI and data solutions.
• Validate AI-generated insights to ensure accuracy, reliability, and traceability.
• Develop reusable AI agents and analytics tools that can be scaled across manufacturing operations.

Requirements

• Experience in data engineering, data analytics, AI development, or a related technical field, preferably in a manufacturing environment.
• Strong programming skills in Python and SQL, with experience in Power BI and/or Microsoft Fabric.
• Hands-on experience developing AI agents, automated workflows, or AI-powered applications.
• Familiarity with large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and API integrations.
• Experience with Microsoft Copilot Studio, Azure AI, or similar AI development platforms is a plus.
• Knowledge of machine learning, statistical analysis, anomaly detection, and data visualization.
• Understanding of manufacturing processes, quality management systems, and continuous improvement methodologies.
• Familiarity with quality tools and methodologies including Root Cause Analysis (RCA), Pareto analysis, Statistical Process Control (SPC), and quality KPIs.
• Strong analytical and problem-solving skills with the ability to translate complex data into meaningful business and engineering insights.
• Excellent communication and collaboration skills, including the ability to work effectively across technical and operational teams.

Technologies

• Python, SQL
• Power BI, Microsoft Fabric
• Large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), API integrations
• Microsoft Copilot Studio, Azure AI
• Machine learning, statistical analysis, anomaly detection, data visualization

Benefits

• Competitive compensation
• Annual bonus opportunities
• 3-2-1 Commission Won employee referral incentive
• Regular salary review periods
• 401(k) with company match
• Employer contributions toward healthcare
• Financial education resources
• Paid time off and company holidays
• Comp Time Program
• Flexible and remote work options (role dependent)
• Employee Assistance Program (EAP)
• Medical, dental, vision, life, and disability insurance
• Team events and employee celebrations
• Community involvement and volunteer opportunities
• Work with Fortune 500 clients
• Diverse and challenging project opportunities
• Regular performance and development conversations
• Mentorship and coaching opportunities
• International collaboration across the Ingenics Group
• Skills competency and professional development programs
• Knowledge sharing with global experts
• Global mobility opportunities

What We Offer

Join a team shaping the future of manufacturing through projects in areas including:

• Digital Transformation
• Factory Design & Simulation
• Intralogistics
• Manufacturing Excellence
• Operational Excellence
• Production Technology & Automation
• Project Management
• Quality & Supplier Management
• Supply Chain Management

Location

Vance, AL (onsite)