Sr AI Solutions Specialist - Architecture Foundry

Chicago Mercantile Exchange • Chicago, IL

4d • $145,700 - $242,900

About The Position

Are you a highly versatile developer who is passionate about translating cutting-edge Generative AI research into production-ready software? Do you want to build the smart interfaces, agentic workflows, and automated microservices that will power the future of financial markets? CME Group is seeking a Sr AI Solutions Specialist to join our revolutionary Architecture Foundry within the Central Hub. Sitting inside our innovative, cross-functional "Architecture-as-a-Product" pod, you will partner directly with Enterprise Architects and Cloud Platform Engineers to turn visionary architectural concepts into living, breathing AI-powered solutions. In this role, you will be the premier Force Multiplier for our applied architecture stories and epics. Rather than building isolated models, you will act as a versatile, multi-disciplinary AI specialist. You will take the robust security patterns, landing zones, and infrastructure blueprints designed by the central hub and use them to engineer reusable application-level templates, multi-agent systems, and production-ready code blocks. By building these "Paved Paths," you will empower delivery teams across CME Group to rapidly adopt and scale secure GenAI capabilities.

Requirements

• 3–5+ years of progressive, hands-on software engineering experience, with a proven track record of writing production-grade, highly reusable, and modular code libraries.
• Experience working within large, complex corporate environments or financial services institutions, demonstrating familiarity with enterprise security standards, data privacy controls, and API-driven architectures.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline.
• Deep proficiency in Python (the industry standard for AI enablement) alongside experience in enterprise languages (e.g., Java, C++, or Node.js).
• Hands-on experience developing applications using state-of-the-art Large Language Models (LLMs) from Google (Gemini/Vertex AI), OpenAI, or open-source ecosystems.
• Proven experience building agentic workflows and multi-agent orchestration systems using frameworks such as LangGraph, AutoGen, CrewAI, or Google Vertex AI Agent Builder.
• Strong understanding of semantic search, vector databases (e.g., Pinecone, pgvector), chunking strategies, prompt engineering patterns, and RAG architectures.
• Advanced skills in building and consuming RESTful/gRPC APIs, microservice design, and asynchronous message broker patterns.

Nice To Haves

• Google Cloud Certified: Professional Machine Learning Engineer or Professional Cloud Developer.
• Specialized AI Credentials: Credentials from recognized programs (e.g., DeepLearning.AI, TensorFlow Developer) focusing on natural language processing, LLM application development, or agentic architectures.

Responsibilities

• Design, build, and maintain enterprise-grade software templates, reusable SDKs, and modular microservices that wrap GenAI capabilities (e.g., prompt management, retrieval-augmented generation [RAG], embeddings) into standard developer tools.
• Design and deploy robust multi-agent systems and agentic architectures capable of planning, reasoning, memory retention, tool usage, and execution across complex enterprise APIs.
• Implement strategic design patterns, turning abstract standards into functional codebases that prove the viability of next-generation AI platforms.
• Rapidly develop functional prototypes and proof-of-concepts (POCs) for high-impact AI use cases, ensuring code is clean, modular, and optimized for production hand-off.
• Package your code into clear, well-documented starter kits and boilerplates, making it incredibly simple for delivery teams to integrate advanced AI without reinventing the wheel.
• Work with the Pattern Council to certify and publish your templates as standard developer building blocks.
• Embed briefly with engineering pods to help them adopt your templates, troubleshoot complex API/LLM integration issues, and scale their implementations.

Benefits

• A supportive environment fostering career progression, continuous learning, and an inclusive culture.
• Broad exposure to CME's diverse products, asset classes, and cross-functional teams.
• A competitive salary and comprehensive benefits package.
• Annual target bonus opportunity.
• Opportunity to become an owner in the company through our broad-based equity program.
• Comprehensive health coverage.
• Retirement package that includes both a 401(k) and an active pension plan.
• Highly competitive education reimbursement provisions.
• Paid time off.
• Mental health benefit.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior