Senior AI Platform Engineer
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- Experience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI policy development preferred
Responsibilities
- 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
Benefits
- Fair and competitive salary and incentive compensation packages with an upside for overachievement
- Generous paid time off, including vacation, personal days, sick days and annual community service days
- Health, dental and vision benefits, including access to telemedicine and mental health services
- 2:1 401(k) match, up to 8% match immediately upon hire
- Discounted Employee Stock Purchase Plan
- Tax Savings Accounts for health, dependent and transportation
- Employee referral bonus program
- Volunteer opportunities to help you give back to your communities
- Complimentary lunch, snacks and coffee in any Cboe office
- Paid Tuition assistance and education opportunities
- Generous charitable giving company match
- Paid parental leave and fertility benefits
- On-site gyms and discounts to other fitness centers
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
