Chief Scientist - Technical Artificial Intelligence

Cummins • Columbus, IN

8h • Remote

About The Position

The Chief Scientist-Technical Artificial Intelligence, serves as a global thought leader and hands-on innovator across the enterprise. This role is responsible for translating emerging AI research and trends from academia, national laboratories, and industry into practical, high‑impact applications. The role also partners closely with internal teams and external software vendors to support negotiations, co‑innovate solutions, and guide adoption of advanced AI technologies.
The Chief Scientist addresses a wide range of technical and process challenges across Product Development, Training and Upskilling, Software Solution Development, and end‑to‑end operational processes such as Product Problem Solving, Uptime, and Quality Engineering. As an enterprise-level individual contributor, this role drives the creation of new AI agents, tools, and applications; defines requirements for third‑party builds; and establishes roadmaps for key technical capabilities.
Given the rapid advancements in Generative AI, the role will lead significant changes to existing procedures and establish entirely new workflows across procurement, training, cybersecurity, data privacy, and product development. This role is preferably based in Indiana, but remote arrangements are possible. The role operates globally, with particular focus on North America, China, and Europe.

Responsibilities

• Serve as the enterprise’s senior technical authority for generative and agentic AI, setting the standard for technical rigor and shaping how the Technical Function understands, evaluates, and applies advanced AI capabilities.
• Define and evolve AI principles, reference architectures, and technical standards that guide safe, scalable, and robust AI adoption across complex industrial engineering environments and influence long-term technology strategy.
• Translate frontier AI research into practical, actionable guidance, identifying emerging methods and design patterns and ensuring Cummins remains on the leading edge of innovation.
• Drive and accelerate high-value engineering use cases by advising teams on applying LLMs, RAG, and agent-based systems, improving decision quality, and enabling new technical workflows.
• Evaluate and validate AI model performance and risks through stress-testing, failure‑mode analysis, and domain-expert collaboration to ensure outputs are explainable, traceable, and decision-supportive.
• Build organizational capability and ensure responsible scaling by coaching practitioners, raising AI literacy, and providing senior oversight for pilots and early deployments to clarify where AI adds value—and where human judgment remains essential.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed