About Cummins AI Lab

The Cummins AI Lab is a global innovation hub dedicated to advancing frontier AI capabilities and deploying AI solutions across Cummins’ engineering, manufacturing, service, and industrial operations worldwide.

We focus on applied LLM research, domain-specific model development, and end-to-end enterprise AI transformation.

We are seeking a Senior LLM Research Scientist to drive advanced research, design next-generation domain LLMs, and influence the AI Lab’s future technical direction.

Role Overview

• This is a senior-level, high-autonomy role requiring deep expertise in large language models, applied AI research, and complex problem-solving. You will explore the latest LLM advancements, design LLM-driven solutions tailored to Cummins’ engineering and industrial scenarios, and play a central role in building our domain-specific enterprise LLM.
• Candidates must demonstrate strong applied research capabilities, cross-disciplinary thinking, and a proven ability to bring research into real-world production.

Key Responsibilities

1. Frontier LLM Research & Technology Exploration
• Investigate state-of-the-art LLM and multimodal technologies: RAG, Agents, tool use, reasoning, alignment, knowledge injection, and domain adaptation.
• Analyze global research trends and define how emerging techniques can be applied to Cummins’ engineering and industrial workflows.
• Lead deep technical explorations and novel architecture experimentation.

2. Domain-Specific LLM Development
• Architect domain-grounded LLM solutions for engineering design, simulation workflows, diagnostics, service operations, manufacturing, and technical documentation.
• Build pipelines for SFT/IFT, retrieval-augmented reasoning, prompt engineering, and knowledge-grounded inference.
• Integrate structured and unstructured engineering knowledge (CAD/CAE outputs, diagnostic logs, manuals, sensor data).

3. Cross-Disciplinary Innovation
• Collaborate with engineering, simulation, materials, control systems, quality, and service teams to design innovative AI workflows.
• Apply multi-domain expertise to create LLM-powered tools for engineering productivity, automated reasoning, and smart decision-making.

4. End-to-End Research Delivery
• Own the full cycle: exploration → prototyping → evaluation → documentation.
• Produce technical reports, architecture designs, and executive-level presentations.
• Provide technical leadership in transitioning prototypes to enterprise systems.

Must-Have Qualifications

• Master’s or PhD in Computer Science, AI, Machine Learning, Engineering, or related fields; OR equivalent senior-level research experience.
• Deep expertise in LLM technologies: Transformer, SFT/IFT, RAG, agents, tool-use, reasoning, alignment, evaluation.
• Proven experience shipping applied AI/LLM systems beyond PoC into real-world environments.
• Strong programming and experimentation skills (Python, PyTorch, HuggingFace, LangChain, LlamaIndex).
• Experience integrating LLMs with engineering, scientific, or industrial domains.
• Demonstrated ability to independently lead complex technical explorations.
• Strong communication skills for working with global research and engineering teams.

Preferred Qualifications

• Experience in AI Labs, cloud providers, or major technology companies.
• Experience building domain-specific or enterprise LLMs.
• Familiarity with CAD/CAE/PLM systems (Creo, SolidWorks, CATIA, Ansys).
• Publications, patents, or open-source contributions.

What You Will Gain

• Opportunity to shape Cummins’ domain LLM strategy and long-term AI roadmap.
• Work on high-impact problems across engineering, manufacturing, and industrial operations.
• Collaboration with global experts across AI, product, engineering, and platform teams.