Senior Analytics Manager - AI Model & Prompt Engineering

Caterpillar

Quick summary

Work type: On-site
Location: Chicago, Illinois
Salary: $172,630–$258,950 / yr
Posted: 1 day ago
Closes: Jun 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k

This role $216k

$159k most similar roles pay here $270k

This role pays more than 56% of similar roles. Most pay $169,946–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $208k 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 36 open roles on FindRole.

Listed pay typically runs $128,470–$208,770 across 36 roles with salary data.

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View all roles at Caterpillar

At a glance

TL;DR · Senior Analytics Manager - AI Model & Prompt Engineering

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Join the AI Engineering team at Cat Digital as a senior leader responsible for coordinating and guiding a team focused on developing advanced generative AI solutions such as intelligent agents and digital assistants. Your daily tasks will include providing technical direction, managing resources efficiently, overseeing team performance, and establishing best practices to ensure high-quality engineering products. You should have extensive experience in software development, integration, quality assurance, and organizational leadership, particularly in delivering enterprise-scale GenAI solutions across hybrid cloud environments. Expertise in agile project management, distributed systems, and major cloud platforms like Azure, AWS, or GCP is essential, along with deep knowledge of AI model types, evaluation methodologies, and agentic orchestration frameworks.

Skills

CI/CD Python AWS Azure GCP Snowflake Docker Kubernetes Terraform PostgreSQL Prometheus Grafana LangChain LangGraph MCP A2A LLMs SLMs RAG LoRA Vector databases APIs Microservices Incident management Unit testing Integration testing Feature flags Blue/green deployments Canary deployments

What you'll do

Provide technical support and direction to ensure team alignment with company goals for AI projects.
Manage resources efficiently to meet project deadlines and maintain high standards.
Oversee individual and team performance, identifying training needs for continuous improvement.
Establish and enforce engineering best practices to ensure consistent development quality.
Ensure robustness and reliability of AI solutions by taking ownership of product quality.

What we're looking for

Extensive experience leading AI and software teams in agile, matrixed organizations.
Demonstrated track record of delivering GenAI solutions and enterprise-scale products across hybrid cloud environments.
Expert knowledge in software development, integration engineering, and quality assurance practices.
Proven ability to manage complex cross-functional digital projects with strong project management skills.
Deep expertise in designing scalable AI systems, including prompt engineering patterns and agentic system concepts.

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