Lead 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:

• Architect and implement AI/ML models for automation predictive analytics and process optimization in manufacturing.
• Develop and maintain scalable data and ML pipelines; execute on end-to-end AI solution lifecycles (from data processing to model deployment and monitoring).
• Collaborate with product engineering and operations teams to design and integrate AI features into digital products.
• Apply Generative AI or LLMs for use cases in simulation generative design digital documentation and intelligent operator assistance.
• Champion best MLOps practices code quality and testing for robust AI deployments.
• Mentor junior engineers and data scientists on technical best practices.
• Remain current with industry and AI advancements and quickly adapt solutions to evolving needs.

Required Skills:

• Demonstrated expertise in Machine Learning Deep Learning Natural Language Processing (NLP) and/or Generative AI (LLMs RAG transformers).
• Experience deploying models with frameworks like TensorFlow PyTorch Hugging Face Transformers etc.
• Strong programming skills in Python; familiarity with other languages or tools (Java Go Scala Docker K8s) is a plus.
• Experience with model training fine-tuning prompt engineering and use of vector databases.
• Familiarity with cloud services (AWS/GCP/Azure) for model deployment.
• Experience with MLOps CI/CD for ML and version control (Git).

Nice to Have Skills:

• Experience with or exposure to digital twin tech in manufacturing (e.g. Nvidia Omniverse Siemens PTC); participate in integration/consumption rather than full-scale digital twin architecture.
• Knowledge of manufacturing data/standards (IoT PLCs MES/ERP connectivity).

Educational Background: Typically requires a Bachelors degree preferably in computer science Artificial Intelligence Data Science mathematics or a similar field with quantitative coursework and 8-12 years of professional experience in associated field is required a Masters degree and 6-8 years of experience or a PhD and 2-5 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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