Top Natural Language Processing (NLP) Jobs in Chicago, IL

Lead enterprise strategy and product management to scale AI-powered voice, chat, email, and conversational experiences. Own roadmap, platform modernization, global deployment, governance, and continuous optimization to increase digital adoption, reduce servicing demand, and deliver measurable business value across servicing operations.

Client-facing role redesigning legal workflows using AI agents and LLMs. Diagnose legal process inefficiencies, prototype LLM-based solutions, define requirements, ensure security and governance, coordinate cross-functional teams, and drive adoption and measurable value for law firm clients.

Own the end-to-end vision and roadmap for Boulevard's AI Receptionist. Define how AI handles voice and text client interactions, design handoffs to humans, set success metrics (autonomous resolution, CSAT, adoption, retention), drive business outcomes and pricing, gather deep customer insight from self-care businesses, and lead cross-functional teams to deliver trustworthy, high-quality AI conversational experiences.

Lead design of AI agent experiences—conversation and voice flows, multi-turn dialogs, escalation and error handling. Create user journeys, information architecture, wireframes, and clickable prototypes. Co-facilitate discovery workshops, ground decisions in user research, contribute to design systems, and ensure scalable, production-ready UX patterns for enterprise AI deployments.

Design, test, and document prompts and prompt libraries to optimize AI language model outputs. Collaborate with product, data, and ML engineers to integrate prompt solutions, run A/B experiments, measure performance, and maintain versioned documentation. Support TIBCO-specific implementation and stay current on AI/NLP techniques.

Design, author, and iteratively optimize LLM evaluation prompts for Five9 AQM; define evaluation scope and pass/fail criteria with customers; select and analyze call samples; measure precision/recall; maintain a versioned prompt library; collaborate with QA and implementation teams; debug prompt failures; develop standards, templates, and support pre-sales demonstrations.

Design and iterate multi-channel conversational experiences (chatbots/voice) including intents, entities, prompts, fallbacks, and testing. Create conversation artifacts, define channel-specific behaviors, enforce style and safety guidelines, support platform implementations, use analytics to optimize flows, collaborate with UX/engineering/security, and maintain operational reliability and observability.

Lead and execute independent research programs on NLP and LLM safety, design and run experiments, secure funding, publish and present results, lead cross-functional teams, and develop evaluation tools and challenges to advance digital safety.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Design and implement scalable ML solutions for customer experience problems. Analyze customer data, research and deploy ML/NLP models, automate model development and validation, and produce performance analyses.