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Sr AI Solutions Specialist - Architecture Foundry

Posted yesterday

cme chicago mercantile exchangeChicago (IL)

SENIORITY

Lead

SALARY

$145,700 - $242,900 per year

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About the role

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. What You'll DoApplied AI & Agentic Engineering Build Reusable AI Assets: 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. Architect AI Agents: Design and deploy robust multi‐agent systems and agentic architectures capable of planning, reasoning, memory retention, tool usage, and execution across complex enterprise APIs. Translate Architecture into Code: Partner with Enterprise Architects to implement their strategic design patterns, turning abstract standards into functional codebases that prove the viability of next‐generation AI platforms. Prototype to Production (MVPs): 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. Developer Enablement & Mentorship Democratize AI Best Practices: 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. Co‐Create Paved Paths: Work with the Pattern Council to certify and publish your templates as standard developer building blocks. Collaborative Support: Embed briefly with engineering pods to help them adopt your templates, troubleshoot complex API/LLM integration issues, and scale their implementations. What You'll Bring Professional Background3–5+ years of progressive, hands‐on software engineering experience, with a proven track record of writing production‐grade, highly reusable, and modular code libraries. Enterprise Exposure Experience working within large, complex corporate environments or financial services institutions, demonstrating familiarity with enterprise security standards, data privacy controls, and API‐driven architectures. Education Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline. Technical & AI Expertise Software Engineering CoreDeep proficiency in Python (the industry standard for AI enablement) alongside experience in enterprise languages (e.g., Java, C++, or Node.js).Generative AI & LLMsHands‐on experience developing applications using state‐of‐the‐art Large Language Models (LLMs) from Google (Gemini/Vertex AI), OpenAI, or open‐source ecosystems. Agentic Frameworks & Orchestration Proven experience building agentic workflows and multi‐agent orchestration systems using frameworks such as LangGraph, AutoGen, CrewAI, or Google Vertex AI Agent Builder. Modern Development Ecosystem Strong understanding of semantic search, vector databases (e.g., Pinecone, pgvector), chunking strategies, prompt engineering patterns, and RAG architectures. API & Integration Patterns Advanced skills in building and consuming RESTful/gRPC APIs, microservice design, and asynchronous message broker patterns.
Certifications: (Highly Desired) 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. What You'll GetBecome a cornerstone of a high‐visibility function where your contributions directly shape the core technology foundations of financial markets, tackling technical challenges at an unmatched scale. 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.
Benefits: A competitive salary and comprehensive benefits package. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents. Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad‐based equity program. The pay range for this role is $145,700-$242,900. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant).CME Group: Where Futures are Made CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal‐opportunity employer, we consider all potential employees without regard to any protected characteristic. For U.S. employment, CME Group is legally required to validate a new hire's employment eligibility by having them complete an Employment Eligibility Verification (Form I-9) companied with legally acceptable proof of identity and work authorization (as listed on the Form I-9). CME Group uses E‐Verify, which is an online system operated by the U.S. Department of Homeland Security in partnership with the Social Security Administration to verify employment eligibility and validate social security numbers. Through participation in the E‐Verify program, information entered on Form I-9 will be provided and compared to information available at both of these agencies. See posters below for more details.

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