AI Engineer

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Duties and Responsibility:

• Starting at $92,000/ annually.
• Immediate, open position.
• Develop and deploy AI-based automation systems for robotic assembly, welding, and material handling lines.
• Integrate computer vision for real-time defect detection, part verification, and surface inspection.
• Collaborate with controls engineers to enhance existing PLC - robot communication for smarter decision-making.
• Analyze production data (cycle times, scrap rates, downtime) to identify root causes and optimize line efficiency.
• Build data pipelines connecting shopfloor (robots, PLCs, and sensors) to AI analytics platforms (Edge or Cloud).
• Develop Power BI dashboards to visualize KPIs such as OEE, throughput, and quality trends.
• Support continuous improvement initiatives with AI-assisted process tuning.
• Implement predictive maintenance solutions using vibration, current, or temperature sensor data from robotic, compressor and other equipment.
• Participate in internal audits (ITGC, MAFACT, IATF) and maintain accurate documentation and change management system/control
• Available to respond to and resolve off hour inquiries and emergencies.
• Maintains familiarity with current technologies and future trends.
• Other duties as assigned by a supervisor or Manager
• Must comply with all ISO 14001 (Environmental) and OHSAS 18001 (Health and
• Safety) systems and standards as it pertains to their work
• Adhere to the IATF16949 Standard as required
• Abide by all AODA and C-TPAT procedures that apply to the position

Performance Measurement:

• Enhance product quality via real-time defect detection.
• Optimize robotic workflows and material handling paths.
• Reduce unplanned downtime with predictive maintenance.

Skills and Qualifications:

• Bachelor or Masters degree in Mechatronics, Automation, Computer Engineering, or Industrial Engineering.
• 3+ years of experience in automotive manufacturing or a high-volume industrial automation environment.
• Hands-on experience with PLC, industrial robots, IoT sensors
• Proficiency with Ignition, SQL Programming, Python
• AI / ML frameworks (TensorFlow, PyTorch), and computer vision tools (OpenCV).
• Experienced in implementing neural net based classifiers.
• Familiarity with machine learning algorithms and reinforcement learning technics.
• Familiarity with industrial communication protocols (OPC-UA, Modbus, MQTT).
• Strong understanding of Lean Manufacturing and process control principles.

Preferred

• Experience implementing AI vision systems for assembly and final inspection.
• Background with predictive maintenance or industrial IoT.

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.