Principal AI Engineer

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining a global team who cares not just about the work we do but also about each other. We are the makers problem solvers and future world builders who are creating stronger more sustainable communities. We dontjust talk about progress and innovation here we make it happen with our customers where we work and live. Together we are building a better world so we can all enjoy living in it.

Cat Digital is the digital and technology arm of Caterpillar Inc. responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide were focused on using IoT and other data technology advanced analytics and AI capabilities to help our customers build a better world.

Build the Digital Backbone of Modern Manufacturing

Were assembling a dynamic team to develop and scale ourManufacturing & Supply Digital Platforma next-generation software framework that transforms how manufacturing and supply operations connect collaborate and optimize.

This platform isnot an ERP system. Its a purpose-built digital layer that integrates data processes and resources across the entire manufacturing lifecyclefrom design and engineering to production and distribution.

This initiative ispowered by NVIDIA technologies including theOmniverse platformandAI computing capabilities enabling immersive digital twins accelerated simulation and intelligent automation. Youll be part of a team thats not just building softwarebut shaping the future of how manufacturing works throughAI-driven collaborative and scalable digital solutions.

As part of this initiative youll contribute to:

• System Integration: Seamlessly connecting diverse manufacturing and supply systems data sources and workflows into a unified digital ecosystem.
• Data-Driven Decision Making: Harnessing real-time data collection analysis and visualization to deliver actionable insights and operational intelligence.
• Automation & Optimization: Driving efficiency through intelligent scheduling predictive maintenance and quality controlwithout replacing core transactional systems.
• Enhanced Collaboration: Enabling transparent communication and coordination across teams functions and geographies.

If youre passionate about digital platforms industrial innovation and working with cutting-edge technologiesthis is your opportunity to make a meaningful impact.

Key Responsibilities:

• Lead and deliver implementation strategies for State of the Art (Gen)AI-based Applications in manufacturing domain.
• Design and implement a Knowledge Transfer strategy to scale the own experience via a Growing and Ambitious AI Team.
• Drive technical innovation through boundary-pushing experimentation while maintaining alignment with customer commitments and delivery expectations.
• Collaborate with product engineering and operations teams to design and integrate AI features into digital products.

Required Skills:

• Prior experience in successfully designing developing and deploying AI/ML solutions in a production environment.
• Application of GenAI for generative design simulation predictive modeling demand forecasting or process optimization in industrial environments. Experience with frameworks like Langchain Langgraph or industry GenAI stacks.
• Mastery of supervised unsupervised and reinforcement learning algorithms as applied to manufacturing (predictive maintenance defect detection process automation).
• Strong software engineering skills in Python and common ML libraries (TensorFlow PyTorch Scikit-learn JAX).
• Experience deploying production AI solutions (MLOps) with robust data pipelines monitoring retraining and scalability in real factory settings.

Nice to Have Skills:

• Prior experience in technical training mentorship or consulting role preferably within a corporate or academic setting.
• Demonstratable experience with manufacturing data industrial protocols plant systems and translating business goals into machine learning projects.
• Architected or deployed digital twin solutions for virtual representation of physical assets/processes.
• Leveraged digital twins for operational optimization scenario modeling or virtual commissioning in factories.
• Familiarity with platforms and toolkits (Nvidia Omniverse Siemens PTC Dassault Systèmes).
• Knowledge of integrating real-time manufacturing data (IoT PLC MES/ERP connectivity) to digital twins for simulation and predictive analytics.

Educational Background: Typically requires a Bachelors degree preferably in computer science Artificial Intelligence Data Science mathematics or a similar field with quantitative coursework and 10-16 years of professional experience in associated field is required a Masters degree and 8-10 years of experience or a PhD and 5-7 years of experience in relevant field.

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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