> Markdown version of [/jobs/ext/4565600-associate-principal-artificial-intelligence-engineering](https://www.wearedevelopers.com/jobs/ext/4565600-associate-principal-artificial-intelligence-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Principal, Artificial Intelligence Engineering - **Company:** The Options Clearing Corporation - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $127,900 - $152,400 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Command-Line Interface, Data as a Services, Data Systems, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Data Processing, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, AI Platforms, Information Technology, Data Analytics, Claude, Model Context Protocol, Software Version Control - **Published:** November 4, 2026 - **Apply:** https://diversityjobs.com/career/18827572/Associate-Principal-Artificial-Intelligence-Engineering-Illinois-Chicago ## About the Role Master's degree in computer science, software engineering, analytics, or related and two (2) years of experience as a data analyst, data analytics engineering associate, or related, Must have work experience with each of the following: 1) Develop Python software - including command-line tools, data processing and extraction scripts, reusable tooling, and platform integration utilities - supporting enterprise data systems and AI platforms including Claude Enterprise; 2) Design and implement integrations connecting cross-platform enterprise data sources to downstream data and AI platforms (including Claude Enterprise), using Python, Model Context Protocol (MCP) servers, and enterprise platform connectors; 3) Deploy and configure enterprise RAG systems with embedded vector databases using Amazon Q Business to enable organization wide AI capabilities; and 4) Administer AWS Bedrock to provision and manage large language models and build model evaluation frameworks using MMLU and TruthfulQA. Up to 40% telecommuting permitted. ## Description Collaborate closely with cross-functional teams to integrate cutting-edge AI data solutions into products. Develop and deploy advanced data machine learning models, ensuring the integration of AI capabilities across various platforms, and drive innovation in data-driven decision-making processes. Develop Python software - including command-line tools, data processing and extraction scripts, reusable tooling, and platform integration utilities - supporting enterprise data systems and AI platforms including Claude Enterprise. Serve as a key advisor to product development teams, providing expertise and guidance on the best practices for AI implementation. Lead the design, deployment, and optimization of Gen AI data solutions across OCC, establishing architectural standards and best practices. Drive the development and implementation of sophisticated RAG systems and complex LLM agent workflows, providing technical leadership and mentoring to team members. Collaborate cross functionally with product managers, designers, and domain experts to prototype and deploy AI-enabled data products. Deploy and configure enterprise RAG systems with embedded vector databases using Amazon Q Business to enable organization wide AI capabilities. Apply best practices in observability, evaluation, benchmarking, and continuous improvement for deployed AI data systems. Define and establish enterprise-wide standards for prompt engineering and model versioning, ensuring scalability and maintainability. Design and implement integrations connecting cross-platform enterprise data sources to downstream data and AI platforms (including Claude Enterprise), using Python, Model Context Protocol (MCP) servers, and enterprise platform connectors. Lead the technical design and implementation of backend infrastructure for AI data services, ensuring robust, scalable, and secure solutions. Lead the development of technical vision and long-term roadmap for AI data systems at OCC, working closely with executive stakeholders. Develop metrics and key performance indicators (KPIs) to monitor AI data utilization, effectiveness, and integration. Administer AWS Bedrock to provision and manage large language models and build model evaluation frameworks using MMLU and TruthfulQA. Up to 40% telecommuting permitted. OCC offers a standard benefits package. *This position qualifies for The Options Clearing Corporation's Employee Referral Program.*