Lead AI Engineer for agentic AI in the Connectivity division, responsible for research, prototyping, and production engineering of AI agents across Caterpillar's connected-product ecosystem.
Compensation
$128,470.00 - $192,710.00
Responsibilities
Evaluate emerging LLMs and AI frameworks
Prototype AI solutions using GitHub Copilot and other platforms
Develop reusable components for agent orchestration, RAG, memory, tool use, and multi-agent workflows
Design and build secure, production‑grade AI agents in Python
Integrate AI with connected assets, telematics, embedded systems, and enterprise APIs
Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate development excellence across the team.
Partner with sales and tech leadership to define requirements for high‑value opportunities, deploying specialized experts (agentic systems in customer experience) to key accounts.
Lead technical hiring for Applied AI Agent Development, evaluating AI Agent expertise, systems development, and coding skills to build an exceptional development team.
Identify skill gaps in emerging tech (MCP, tool‑calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Collaborate with product and development to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.
Requirements
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Nice to have: Master’s degree or PhD in AI, Computer Science, or related technical fields.
Nice to have: 8 years of experience managing software development, agent development, or similar technical customer‑facing teams in a cloud computing environment.
Nice to have: Experience designing end‑to‑end secure, observable multi‑agent systems using design patterns (ReAct, self‑reflection).
Nice to have: Experience designing intuitive interfaces for AI and agentic systems, prioritizing context development, transparency, and explainability to foster user trust.
Manager, Agent Development, Applied AIGoogle · Waterloo, Canada+1 more