About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.  

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

To design, develop, and deploy generative AI solutions across domains such as natural language processing, computer vision, and multimodal systems. The role focuses on building intelligent applications powered by foundation models, fine-tuning LLMs, implementing Retrieval-Augmented Generation (RAG), and ensuring scalable, efficient, and responsible use of generative AI in real-world scenarios. 

Key Responsibilities

Design, fine-tune, and optimize large language models (LLMs) and multimodal generative AI systems. 

Implement RAG pipelines for domain-specific applications using internal or external knowledge bases. 

Build and integrate conversational agents, copilots, or generative AI applications for text, image, or speech. 

Develop efficient data pipelines for preprocessing, augmentation, and model training. 

Deploy and optimize AI solutions on cloud (Azure, AWS, GCP) or edge computing environments. 

Collaborate with cross-functional teams to identify use cases, prototype, and scale AI solutions. 

Ensure responsible AI practices, including fairness, privacy, transparency, and governance. 

Stay up to date with advancements in LLMs, generative diffusion models, and related AI frameworks. 

Experience Required

Relevant experience minimum 2-3 years. 

Hands-on experience in building generative AI applications (chatbots, copilots, document intelligence). 

Strong skills in Python and frameworks such as PyTorch, Hugging Face Transformers, LangChain, or RAG frameworks. 

Experience with Copilot-style applications integrated into enterprise tools (e.g., MS Teams, Outlook, Excel, Confluence, Jira). 

Expertise in integrating LLMs with third-party tools and APIs such as ServiceNow, OneDrive, or GitHub Copilot. 

Experience with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) for retrieval. 

Familiarity with prompt engineering, model fine-tuning (LoRA, PEFT), and evaluation methods. 

Knowledge of APIs and deployment tools (FastAPI, Docker, Kubernetes). 

Prior experience deploying models on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI). 

Preferred Qualifications

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave
• Adoption assistance
• Fertility & Family building support
• Employee Assistance Programs 
• Charitable contribution matching and Volunteer Time Off