Manufacturing Systems Engineer

Position Summary

The Manufacturing Systems Engineer is responsible for designing, developing, integrating, and supporting digital manufacturing solutions across MES, equipment data systems, operational applications, analytics platforms, and AI-enabled manufacturing capabilities.

This role partners with Manufacturing, Process Engineering, Equipment Engineering, Quality, and OT teams to build and sustain data-driven manufacturing workflows that improve operational efficiency, equipment reliability, troubleshooting effectiveness, and digital transformation initiatives

Position

Responsibilities

• Design, develop, and support digital/AI manufacturing solutions that improve operational efficiency, data visibility, and decision-making across manufacturing operations.
• Design and support system integrations between manufacturing and equipment enterprise systems, equipment data sources and enterprise data platforms.
• Develop and optimize databases, data pipelines, APIs, and reporting solutions to ensure reliable and scalable manufacturing data flows.
• Design and build AI agents capable of making business-context-aware decisions, taking actions across enterprise systems and workflows, and operating autonomously within defined guardrails
• Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions
• Collaborate with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT teams to translate business requirements into digital solutions.
• Support system testing, validation, deployment, troubleshooting, and lifecycle management of manufacturing applications and integrations.
• Drive continuous improvement initiatives through automation, analytics, and digital transformation projects.
• Contribute to future manufacturing capabilities including operational intelligence, AI-assisted troubleshooting, predictive analytics, and smart manufacturing solutions.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position

Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related discipline.
• 2-5 years of experience in software development, application development, systems engineering, system integration, data engineering, or related technical roles.
• Strong database design and development experience using Microsoft SQL Server, including query optimization, views, and stored procedures.
• Proficiency in one or more programming languages such as Python, C#, Java, JavaScript, or equivalent object-oriented languages.
• Experience developing and supporting software applications, APIs, and system integrations.
• Experience using source control and version management tools such as GitHub.
• Strong analytical, troubleshooting, problem-solving, and communication skills.
• Ability to manage multiple tasks, collaborate across functions, and deliver high-quality solutions in a dynamic manufacturing environment.
• Understanding of Software Development Lifecycle (SDLC), testing methodologies, and deployment practices.
• Experience with building and deploying AI agents in enterprise environments
• Demonstrated success developing agents that interact with and coordinate activities across multiple business platforms and technology ecosystems.
• Experience implementing multi-agent architectures, agent orchestration frameworks, tool calling and workflow execution, Retrieval-Augmented Generation, knowledge retrieval, and reasoning systems.

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities

Preferred Experience/Education/

Skills

• Experience with manufacturing systems, or industrial data platforms.
• Experience with Power BI, Databricks, Azure, cloud technologies, data pipelines, ETL/ELT processes, and analytics platforms.
• Experience implementing AI solutions within large, global enterprises
• Exposure to operational technology, equipment connectivity, or industrial automation environments.
• Knowledge of vector databases, semantic search, enterprise knowledge management, and RAG solution patterns.
• Experience developing operational dashboards, reporting solutions, manufacturing applications, or workflow automation tools.
• Knowledge of AI, machine learning, predictive analytics, diagnostic solutions, knowledge management systems
• Experience working in regulated manufacturing, medical device, biotechnology, life sciences, semiconductor, or high-tech manufacturing environments.
• Demonstrated interest in digital transformation, manufacturing systems integration, data-driven operations, and smart manufacturing initiatives.