Senior AI Engineer — Architect AI Agents & Systems

Cboe Global Markets, Inc.

Chicago (IL)

Hybrid

USD 131,000 - 169,000

Full time

36 hours ago
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Benefits offered by this job

Competitive salary
Health, dental, and vision benefits
401(k) plan with match
Paid time off
Tuition assistance
On-site gym
Volunteer opportunities
Employee stock purchase plan

Job summary

Cboe Global Markets is seeking a Senior AI Engineer to integrate AI into core operations and develop AI-native products. You’ll own the full lifecycle from scoping with business stakeholders to production-grade design, development, and deployment across internal platforms.

You will mentor engineers, establish AI standards, and drive reusable services for agentic systems while collaborating with multiple teams in a hybrid, high-impact environment.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field or equivalent experience
  • 7–10+ years of software engineering experience with increasing seniority
  • 3+ years in applied AI building agents and context/harness engineering
  • Proven production AI deployment experience and familiarity with agent frameworks
  • Hands-on experience building tools and integrations for LLM-based systems
  • Strong context engineering skills including prompt design and memory management
  • Ability to work with non-technical stakeholders to scope AI opportunities
  • Strong Python programming skills and cross-language capability
  • Experience with AI evaluation, observability, and benchmarking
  • Ability to lead design reviews and mentor engineers
  • Excellent written and verbal communication for technical audiences

Responsibilities

  • Design, build, and deploy production-ready AI agents and agentic systems across internal platforms
  • Own scoping and discovery for AI initiatives with business stakeholders
  • Build and enhance the agentic control plane
  • Apply context engineering to build reliable AI systems
  • Establish best practices for agent development, evaluation, and observability
  • Lead architecture decisions for agentic systems across multiple teams
  • Design benchmarking and evaluation frameworks to improve AI performance
  • Translate AI strategy into executable technical work
  • Lead technical design reviews and mentor engineers
  • Produce technical documentation including specs and tests

Skills

Python
Applied AI
LLM
Context engineering
Agent frameworks
Observability
Benchmarking
Technical leadership
Mentoring
Non-technical stakeholder comms

Education

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

Tools

AWS
Snowflake
LLM deployment platforms

Job description

Cboe Global Markets is seeking a Senior AI Engineer to integrate AI into core operations and develop AI-native products. You’ll own the full lifecycle from scoping with business stakeholders to production-grade design, development, and deployment across internal platforms.

You will mentor engineers, establish AI standards, and drive reusable services for agentic systems while collaborating with multiple teams in a hybrid, high-impact environment.

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