AI Engineer

Summary

The AI Engineer is responsible for designing developing and supporting AI-enabled solutions that enhance operational performance across manufacturing and business processes while operating within the Information Technology organization. This role partners closely with Operations Engineering Finance Quality Maintenance Supply Chain and IT teams to identify high-value use cases and translate operational challenges into scalable secure and compliant AI-driven solutions.

The position focuses on leveraging data automation and artificial intelligence to improve safety quality throughput productivity and process efficiency. The AI Engineer ensures solutions are aligned with IT architecture security and governance standards while remaining practical and usable within operational environments. This role also supports the deployment monitoring and continuous improvement of AI applications and provides technical expertise during adoption troubleshooting and process optimization efforts.

Essential Functions

Functional

• Partner with Operations Engineering Finance Quality Maintenance Supply Chain and IT to identify and prioritize AI and data-driven opportunities that improve safety quality and productivity
• Translate operational problems into defined AI use cases including clear requirements KPIs and success criteria (e.g. downtime reduction defect reduction cycle time improvement)
• Design develop and deploy AI-enabled applications models and automation solutions that integrate with enterprise systems and manufacturing processes
• Ensure all AI solutions align with IT standards for architecture cybersecurity data governance and compliance
• Lead pilot initiatives from concept through deployment including data preparation testing validation user training and operational integration
• Collaborate with IT teams to build and maintain data pipelines system integrations and infrastructure required to support AI applications
• Monitor and maintain deployed AI solutions to ensure performance reliability and scalability
• Identify and mitigate risks associated with AI deployment including data integrity model bias operational impact and system failures
• Support continuous improvement efforts by analyzing operational data identifying trends and recommending AI-driven enhancements
• Document AI systems models logic and dependencies to support auditability maintainability and knowledge transfer
• Provide technical support and subject matter expertise to Operations Engineering Finance Quality Maintenance Supply Chain and IT teams including troubleshooting and optimization of AI-enabled processes

Qualifications

Education and Experience

• Bachelors degree in Computer Science Information Systems Engineering Data Science or a related technical field; equivalent practical experience considered
• 0-5 years of experience in AI machine learning data engineering software engineering or automation-focused roles preferably in a manufacturing environment
• 0-5 years of experience developing deploying or supporting AI/ML models and data-driven applications in a production environment
• Proficiency in programming and scripting languages (e.g. Python) and familiarity with AI/ML frameworks or platforms
• Experience integrating AI solutions with enterprise systems databases or manufacturing/operational systems
• Understanding of IT architecture system integration cybersecurity principles and data governance
• Familiarity with manufacturing or operational processes preferred
• Experience working in cross-functional environments translating business needs into technical solutions
• Strong analytical and problem-solving skills with the ability to work with large datasets and complex systems

Other duties as assigned

Travel as required