Senior Specialist, Manufacturing Engineering (AI/ML)

About the role

L3Harris is seeking a Senior Specialist, Manufacturing Engineering (AI/ML) to join our digital transformation team. This role bridges traditional manufacturing engineering with cutting-edge AI capabilities, particularly within Palantir Foundry and advanced analytics platforms.

Responsibilities

• Develop and implement advanced Statistical Process Control (SPC) methodologies enhanced with AI-driven anomaly detection and predictive analytics across multiple programs and departments
• Develop, deploy, and train others on artificial intelligence and machine learning tools using Palantir Foundry, Python, and advanced analytics platforms to solve complex manufacturing challenges, predict process variations, and optimize production efficiency
• Monitor and analyze current manufacturing processes using AI-enhanced PowerBI Dashboards, PowerApps, and advanced analytics to capture variations, identify trends, predict quality outcomes, and proactively recommend improvements before issues occur
• Develop and coordinate implementation of new manufacturing strategies for specific products and processes that leverage AI capabilities, digital twin technology, and advanced data analytics with program engineers and cross-functional teams
• Represent the organization as a senior technical expert and subject matter authority, interacting with program teams, executive leadership, and external stakeholders on AI/digital transformation initiatives and advanced manufacturing technologies
• Manage large, complex, cross-functional project initiatives of strategic importance to the organization involving AI implementation, digital transformation, and advanced manufacturing technologies with minimal oversight or direction
• Provide expert guidance, coaching, and formal training to engineers and cross-functional teams across the Company on AI tool development, Palantir Foundry, advanced analytics methodologies, and digital manufacturing best practices
• Integrate AI solutions with Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) platforms to create seamless data flow, intelligent decision support systems, and real-time process optimization across manufacturing operations
• Estimate and track manufacturing costs using AI-driven cost modeling and predictive analytics, determine time standards through data-driven analysis, and make strategic recommendations for tooling and process requirements of new or existing product lines

Qualifications

• Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data Science, or related technical field AND a minimum of 6 years of progressive manufacturing engineering experience with demonstrated AI/ML application OR Graduate Degree (Master's or PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of related experience OR In lieu of a degree, minimum of 10 years of progressive manufacturing engineering experience with demonstrated expertise in AI/ML tool development and implementation.

Preferred Additional Skills

• Experience in advanced statistical software and tools (e.g., PowerBI, PowerApps, Minitab, JMP, Induction Automation or similar).
• Experience with cloud-based AI platforms (Azure ML, AWS SageMaker, Google Cloud AI) and their integration with manufacturing systems.
• Knowledge and application of continuous improvement philosophy, methodology, and tools.
• Experience with Industrial IoT platforms and data historians (Ignition SCADA, OSIsoft PI, or similar) for real-time data acquisition.
• Strong organizational and time management skills to successfully engage in multiple programs simultaneously over an extended period of time.
• Experience working with MS Office – (Word, Excel, PowerPoint, Project)
• Microsoft Power Tools Experience, such as but not limited to PowerBI, PowerApps, Microsoft Lists, Power Automate etc.
• Ability to read and interpret complex engineering drawings with proper application of geometric dimensioning and tolerancing (GD&T).
• Familiarity with Titan Enterprise systems and Palantir for Data extraction.
• Familiarity with Manufacturing Execution Systems, MRP systems, and PLM systems.