Industry 4.0 Solutions Architect & Implementation Engineer

Kearfott Corporation•Black Mountain, NC

2d•Onsite

About The Position

We are seeking a visionary and hands-on Industry 4.0 Solutions Architect & Implementation Engineer to spearhead our smart manufacturing revolution. In this dual impact role, you will serve as both the architect and the builder of our next-generation industrial ecosystem. You will design, develop, and deploy end-to-end digital solutions that seamlessly bridge the gap between physical factory operations and advanced digital technologies. Your mission is to transform traditional manufacturing processes into self-optimizing, data-driven, and highly efficient operations by leveraging the Industrial Internet of Things (IIoT), artificial intelligence (AI), and cloud automation.

Requirements

Strong grasp of Agile project management.
Exceptional cross-functional communication skills.
Proven track record of converting raw data into actionable operational insights.
Bachelor's or Master’s degree in Mechatronics, Robotics, Computer Science, Industrial Engineering, or a a related technical discipline.
Minimum 3–5+ years of hands-on experience deploying hardware, software, and networking infrastructure inside a manufacturing environment.
Proficiency in programming languages like Python, C++, or structured text (PLC coding); familiarity with SQL/NoSQL databases.
Hands-on experience with protocols (OPC UA, MQTT, Modbus), edge devices, and cloud ecosystems (AWS IoT Core or Azure IoT).
Must be a US Citizen.

Responsibilities

Architect end-to-end Industry 4.0 systems that seamlessly integrating cloud/edge computing, IIoT networks, and legacy execution systems (MES/ERP).
Develop and/or implement third party software applications and automation pipelines to extract, normalize, and process big data from the factory floor.
Create functional prototypes and intuitive interfaces/dashboards for manufacturing teams to visualize live data.
Formulate the long-term digital transformation roadmap, identifying high-ROI opportunities for automation and predictive workflows.
Deploy, configure, and scale IoT sensors, smart actuators, and PLC gateway devices directly in production environments.
Establish standardized, secure communication frameworks (e.g., MQTT, OPC UA) to guarantee robust data flow.
Implement AI and Machine Learning models to transition the plant from reactive to proactive, predictive maintenance.
Oversee full-cycle system testing and validation, minimizing operational downtime during new rollouts.
Act as the technical bridge between traditional plant engineers, data scientists, IT departments, and executives.
Establish data governance, quality metrics, and cybersecurity baselines to protect industrial networks from vulnerabilities.
Train and empower frontline operators to effectively adopt and manage newly deployed digital solutions.