Manager, AI Engineering

Caterpillar

Confirmed live 4 days ago High trust

Quick summary

Work type
On-site
Location
Chicago, ILPeoria, ILIrving, TX
Salary
$147,760–$240,110 / yr
Posted
10 days ago
Freshness
Confirmed live 4 days ago
Closes
Sep 20, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $194k
$135k most similar roles pay here $269k

This role pays less than 61% of similar roles. Most pay $170,000–$256,193 — the shaded band above. At the midpoint, this role pays about $194k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing

Caterpillar currently has 62 open roles on FindRole.

Listed pay typically runs $131,789–$192,710 across 61 roles with salary data.

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View all roles at Caterpillar

At a glance

TL;DR · Manager, AI Engineering

Manager; AI Engineering leads a team responsible for designing, building, and operating cloud-native AI agents and tools within the Cat Digital division. The role involves providing technical and organizational leadership to develop an enterprise-scale AI Assistant that transforms how customers, dealers, and employees interact with digital products. Key responsibilities include overseeing agentic based architecture, orchestration frameworks, observability solutions, and establishing engineering best practices like coding standards and security controls. Candidates must possess expertise in Generative AI technologies, including LLMs, RAG architecture, prompt engineering, and tool-calling patterns. Required skills include proficiency in Python, Go, or Java, along with experience using LangChain, LangGraph, or CrewAI. The role involves managing cloud-native applications on platforms like AWS, Azure, or Google Cloud while ensuring service reliability and scalability for AI-powered business applications and digital copilots.

What you'll do

  • Lead and develop a high-performing team of software engineers focused on AI agent and tooling development.
  • Drive technical strategy, architecture, and execution for cloud-native AI solutions and enterprise-scale assistants.
  • Oversee the end-to-end design, deployment, and operation of agentic architectures and orchestration frameworks.
  • Establish engineering best practices including coding standards, testing frameworks, security controls, and operational excellence.
  • Manage service reliability, scalability, performance, and production support for AI applications and platforms.
  • Lead release planning, resource allocation, project execution, and risk management across multiple initiatives.
  • Drive continuous improvement in engineering productivity, software quality, observability, and automation.
  • Mentor and coach team members to develop their technical capabilities and career growth.

What we're looking for

  • Proven ability to lead software engineering teams and develop engineering talent through coaching and mentoring.
  • Deep understanding of modern software engineering principles, design patterns, and distributed cloud-native application delivery.
  • Experience designing scalable, resilient, and maintainable software platforms while evaluating architectural tradeoffs.
  • Expertise in building AI assistants, digital copilots, autonomous agents, or AI-powered business applications.
  • Knowledge of LLMs, RAG architecture, tool-calling patterns, prompt engineering, and agent orchestration frameworks.
  • Familiarity with frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or similar technologies.
  • Proficiency in Python, Go, Java, or other similar programming languages.
  • Experience building and operating applications on major cloud platforms like AWS, Azure, or Google Cloud.

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