Senior AI Platform Engineer

Building trusted markets — powered by our people   At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.  We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. PLEASE NOTE: To support strong partnership and team connection, this role follows a four day in office work model in either our Chicago, IL or Overland Park, KS office. While the internal title for this position is Senior Automation Engineer , this role has been posted externally under a different title to better align with market norms and to attract talent with comparable experience and skill sets.

Overview The Sr. Automation Engineer serves as a senior technical authority responsible for designing, building, and governing enterprise-scale intelligent automation systems centered on agentic artificial intelligence. This role sits at the intersection of advanced AI engineering, security architecture, and organizational strategy — driving the adoption of autonomous agent frameworks across complex, multi-team environments. The position demands a practitioner who can operate at both the deep technical layer and the executive advisory level, translating emerging AI capabilities into resilient, production-grade systems that meet the most rigorous security and compliance standards.  Your responsibilities will be Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures Strong security mindset with expertise in AI threat modeling, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs 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 Proven ability to operate cross-functionally and lead without authority across engineering, security, product, and operations Capable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive-level communication The ideal candidate has 5+ years of relevant experience across AI/ML systems, software engineering, or cybersecurity, with hands-on experience building, securing, and operating production-grade systems Proven track record building production-grade agentic AI systems that operate reliably at scale Hands-on experience designing agent orchestration patterns, debugging non-deterministic failures, and delivering observable, auditable AI pipelines in regulated environments Strong applied security expertise, including implementing defenses against prompt injection, jailbreaking, and tool misuse, with experience in red-teaming or penetration testing AI systems Demonstrated ability to drive alignment across security, legal, compliance, product, and engineering, turning competing priorities into practical, well-documented outcomes Comfortable presenting architectural trade-offs and risk decisions to senior leadership in high-stakes environments Experience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI