Lead AI Platform Engineer - Secure, Scalable Agentic AI

Cboe; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Cboe seeks a Sr. Automation Engineer to architect and govern enterprise-scale intelligent automation powered by agentic AI. You will operate across AI engineering, security, and strategy to drive adoption of autonomous frameworks in complex, multi-team environments.

The role requires hands-on building and deploying production-grade AI systems with strong security, observability, and compliance controls, while translating technical trade-offs to executive leadership.

Qualifications

• Solid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure-as-code.
• Ability to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modes.
• Strong security mindset with expertise in AI threat modeling, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs.

Responsibilities

• Design, build, and govern enterprise-scale intelligent automation systems centered on agentic AI.
• Operate at the intersection of advanced AI engineering, security architecture, and organizational strategy.
• Translate emerging AI capabilities into production-grade systems that meet security and regulatory standards.
• Lead without authority across engineering, security, product, and operations in cross-functional environments.

Skills

Python

Compiled languages

Microservices

CI/CD

Infrastructure as Code

Observability

LLM APIs

RAG

Prompt engineering

Multi-agent architectures

Agentic AI systems

Security & threat modeling

Zero-trust

Red-teaming / penetration testing

Executive communication

AI governance

Financial services experience

Job description

Cboe seeks a Sr. Automation Engineer to architect and govern enterprise-scale intelligent automation powered by agentic AI. You will operate across AI engineering, security, and strategy to drive adoption of autonomous frameworks in complex, multi-team environments.

The role requires hands-on building and deploying production-grade AI systems with strong security, observability, and compliance controls, while translating technical trade-offs to executive leadership.