Currently tracking 16 active AI roles, up 836% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $128k–$240k (avg $185k).
| Title | Stage | AI score |
|---|---|---|
| Cat Digital/Cat Technology – Data Scientist/Technical Analyst This role focuses on developing models for asset management solutions using machine learning, deep learning, and Generative AI. Responsibilities include sourcing data, gathering requirements, applying digital technologies, and utilizing Generative AI for training, evaluation, prompt engineering, and creating agents/assistants/chatbots. The role also involves ensuring long-term connectivity through strategic planning and testing of various communication technologies. | AgentPost-train | 7 |
| Solutions Architect - AI & Procurement Solutions Architect focused on designing, governing, and delivering AI-driven solutions, specifically agents and automation, within procurement and purchasing platforms (Guided Buy, Coupa). This role involves architectural guidance, prompt strategy, orchestration patterns, data grounding, and ensuring compliance with enterprise and Responsible AI standards. It also includes code reviews and mentoring. | Agent | 7 |
| Autonomy Application Architect This role is for an Application Architect focused on applying autonomy technology to new haulage equipment at Caterpillar. The candidate will lead a team in developing and releasing autonomous and remote-control solutions, involving system design, implementation, and troubleshooting within the Caterpillar Command ecosystem. | Agent | 7 |
| Principal Digital Architect This Principal Digital Architect role focuses on defining and governing the architecture of large-scale digital platforms, with a specific emphasis on AI systems. The role involves owning end-to-end architecture solutions, ensuring scalability, performance, security, and rapid delivery, while influencing enterprise technology strategy. Key responsibilities include creating AI reference architectures, assessing AI technologies, and guiding teams in taking AI systems from proof-of-concept to scaled production use, balancing classical ML, LLM-based approaches, and non-AI solutions. | ShipData | 7 |