AI Engineer

• Support the deployment and ongoing operation of industrial AI and digital manufacturing solutions across manufacturing sites
• Serve as the local technical contact for implementation partners, including the NVIDIA project team
• Work with production, quality, logistics and engineering teams to turn business needs into practical system requirements
• Define use cases, process constraints and measurable acceptance criteria
• Coordinate local delivery with implementation partners and headquarters
• Track technical dependencies, resolve site issues, and communicate progress, risks and decisions
• Coordinate image and equipment data collection, labeling requirements and data quality checks
• Work with engineering and automation teams on camera, lighting and equipment readiness
• Define and test interfaces between AI solutions, manufacturing systems and equipment with SAP, MES and EWM application teams
• Develop or troubleshoot integration scripts and data exchanges within the agreed scope
• Prepare factory layout, cycle time and logistics inputs with industrial engineering teams
• Support digital twin scenario testing and validate assumptions and results with process owners
• Prepare and execute integration and user acceptance tests
• Investigate failures, document results and support controlled deployment into production
• Complete technical handover from implementation partners, including system documentation, support procedures, training and escalation paths
• Provide local troubleshooting and coordinate specialist support
• Monitor operational performance and recurring issues after launch
• Coordinate model or configuration updates with solution owners and implementation partners
• Work with Infrastructure & Operations on connectivity, access permissions, edge computing, monitoring and recovery arrangements
• Follow plant safety, cybersecurity and change management procedures

Industrial AI Engineer

• Lead the shift toward automated, self-healing network operations using AI and modern tooling
• Design and build Ansible/AAP automation workflows for configuration, deployment, and remediation
• Identify manual, repetitive network operations tasks and eliminate them through scripting and orchestration
• Evaluate and pilot AI-driven tools for anomaly detection, predictive maintenance, and intelligent alerting
• Build integrations across monitoring platforms and network infrastructure to connect detection with action
• Contribute to the team’s AI fluency initiative and help engineers develop automation skills
• Partner with architecture and security teams to ensure automation is safe, auditable, and aligned with change control policy
• Own high-visibility automation projects from proof of concept through production rollout
• Monitor emerging network AI/ML tooling and provide recommendations
• Perform other duties as assigned to meet department and institution goals
• Maintain regular and predictable attendance

AI Engineer jobs in Tennessee

Industrial AI Engineer

Senior Network Engineer – AI & Automation