Top Natural Language Processing (NLP) Jobs in Denver & Boulder, CO

Conduct ML/AI research for power system operations, develop LLM/NLP-based solutions, collaborate with stakeholders, contribute to research papers, and work independently on projects.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Perform language- and culture-sensitive human review and annotation of AI outputs across text, audio, and video. Generate or assess content, identify errors and cultural mismatches, provide structured annotations, and follow evaluation guidelines and QA calibration to improve models.

Design, build, and deploy scalable AI/ML models (especially NLP and predictive models), implement MLOps and data pipelines, optimize model performance, research prototypes, ensure ethical and compliant AI, and collaborate with product, engineering, and data teams to embed AI into the leave management platform.

Own post-sale delivery and ongoing performance of credit-union-facing AI agents (Emma): design conversation behavior, run live testing and go-lives, monitor quality and drift, run executive business reviews, codify playbooks and monitoring, and build the operating model and team to scale the function.

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

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.

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.