Senior Automation Engineer

Cboe Global Markets

Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILKansas City, MO
Salary
$119,000–$169,400 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k
This role $144k
$111k most similar roles pay here $196k

This role pays less than 64% of similar roles. Most pay $130,522–$183,301 — the shaded band above. At the midpoint, this role pays about $144k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Cboe Global Markets

Cboe Global Markets, Inc. is a leading global provider of financial exchange operator services, clearinghouse, and investment solutions.

Cboe Global Markets currently has 23 open roles on FindRole.

Listed pay typically runs $119,000–$157,300 across 23 roles with salary data.

Most-posted roles

View all roles at Cboe Global Markets

At a glance

TL;DR · Senior Automation Engineer

As a Sr. Automation Engineer at the forefront of AI engineering, you will design and govern enterprise-scale intelligent automation systems using agentic artificial intelligence, bridging advanced technical expertise with executive advisory roles to ensure robust security compliance. Your daily tasks include building and deploying LLM APIs, RAG systems, and multi-agent architectures while maintaining a strong focus on secure handling of model inputs and outputs. You must possess deep hands-on experience in Python and a compiled language, along with proficiency in microservices, CI/CD pipelines, and infrastructure-as-code practices. Additionally, you will lead cross-functional teams to deliver reliable AI systems that meet rigorous security standards, presenting complex technical concepts to senior leadership effectively. Ideal candidates have a background in financial services or regulated industries, where they can apply their expertise in AI governance and model risk management.

What you'll do

  • Design and build enterprise-scale intelligent automation systems using agentic AI.
  • Ensure secure handling of model inputs/outputs to prevent prompt injection attacks.
  • Develop resilient AI systems with strong observability and tracing capabilities.
  • Lead cross-functional teams in designing agent orchestration patterns and pipelines.
  • Translate complex technical concepts into clear roadmaps for executive communication.
  • Drive alignment between security, legal, compliance, product, and engineering teams.

What we're looking for

  • Deep hands-on experience in building and deploying agentic AI systems including LLM APIs and multi-agent architectures.
  • Expertise in AI security, threat modeling, prompt injection defense, and zero-trust principles for secure system handling.
  • Solid foundation in software engineering with proficiency in Python, microservices, CI/CD, and infrastructure-as-code practices.
  • Proven ability to design resilient AI systems with strong observability and tracing capabilities for non-deterministic failure modes.
  • Demonstrated cross-functional leadership experience across engineering, security, product, and operations teams.
  • Strong communication skills to translate complex technical concepts into clear roadmaps and executive-level presentations.

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