Lead AI Engineer

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining 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 don't just 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, we're 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

We're assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform—a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.

This platform is not an ERP system. It's a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle—from design and engineering to production and distribution.

This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You'll be part of a team that's not just building software—but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.

As part of this initiative, you'll 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 control—without replacing core transactional systems.
• Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.

If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies—this 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 Bachelor's 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 Master's degree and 6-8 years of experience, or a PhD and 2-5 years of experience in relevant field.

Posting Dates:

November 5, November 18, 2025

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

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