Lead Agentic AI Engineer — Production & Enterprise AI

Caterpillar; Irving (TX); On-site; USD 128,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid time off

401(k) with company match

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career development

Job summary

Caterpillar is seeking a Lead AI Engineer to architect and deploy agentic AI across its connected-product ecosystem. You will prototype, build scalable AI agents, and ensure secure, enterprise-grade production aligned with governance and data practices.

You will collaborate across Connectivity, Engineering, Cybersecurity, and AI governance teams to deliver end-to-end AI solutions from discovery to deployment and value realization.

Qualifications

• Experience designing agentic AI systems with practical production focus.
• Ability to prototype and translate ideas into reusable engineering patterns.
• Experience taking AI/ software solutions from prototype to production.

Responsibilities

• Research and prototype AI agents, frameworks, and models for enterprise use.
• Build secure, production-grade AI agents and services in Python.
• Apply AI to connected assets, IoT, and embedded systems within enterprise standards.
• Develop evaluation, observability, and testing for agent behavior and latency.
• Lead technical patterns with enterprise architecture, cybersecurity, and governance.

Skills

Python

Agent frameworks

RAG

Memory

Tool use

Multi-agent workflows

Human-in-the-loop controls

Security

Cloud technologies

Generative AI

AI governance

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

GitHub Copilot

Anthropic

OpenAI

xAI

Job description

Caterpillar is seeking a Lead AI Engineer to architect and deploy agentic AI across its connected-product ecosystem. You will prototype, build scalable AI agents, and ensure secure, enterprise-grade production aligned with governance and data practices.

You will collaborate across Connectivity, Engineering, Cybersecurity, and AI governance teams to deliver end-to-end AI solutions from discovery to deployment and value realization.