Manager, AI Engineering

Caterpillar

Confirmed live 2 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 2 days ago
Closes
Sep 21, 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 to transform how customers, dealers, and employees interact with digital products. The role involves providing technical and organizational leadership to deliver enterprise-scale AI assistants, overseeing agentic based architecture, orchestration frameworks, and observability solutions. Key responsibilities include driving technical strategy, establishing engineering best practices, managing release planning, and ensuring service reliability and security compliance. Candidates must possess expertise in Generative AI technologies, including LLMs, RAG architecture, tool-calling patterns, and prompt engineering. Required skills include proficiency in Python, Go, or Java, along with experience using frameworks like LangChain or LangGraph. The role requires navigating cloud platforms such as AWS, Azure, or Google Cloud while utilizing containerization, CI/CD pipelines, and infrastructure-as-code to solve complex technical challenges.

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.
  • Oversee the end-to-end design, deployment, and operation of agentic-based 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 talent through coaching and mentoring.
  • Experience leading the delivery of distributed cloud-native applications.
  • Expertise in designing scalable, resilient, and maintainable software platforms.
  • Experience establishing testing strategies, observability standards, monitoring practices, and incident management processes.
  • Knowledge of reliability engineering, security best practices, and operational excellence.
  • Proficiency in Python, Go, Java, or similar programming languages.
  • Familiarity with AI technologies including LLMs, RAG architecture, prompt engineering, and agent orchestration frameworks.
  • Experience working with cloud AI services (OpenAI, Anthropic, Gemini) and major cloud platforms like AWS, Azure, or Google Cloud.

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