Top Natural Language Processing Jobs in Denver & Boulder, CO

Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Build and operate Deepgram’s deal desk, including approval matrices, pricing playbooks, credit and promotion guidelines, non-standard deal reviews, pricing analysis, Salesforce CPQ workflows, and audit-ready approvals. Partner with Sales, Customer Success, Product, and Finance on pricing, packaging, renewals, and revenue recognition. Use AI for first-pass deal reviews and continuously improve desk rules and processes.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Supports and maintains enterprise customer web integrations using Smartling’s web proxy solution. Owns technical tickets, troubleshoots browser and network issues, leads customer workshops, creates diagnostic scripts and tooling, manages production configuration changes, and collaborates with Engineering on product fixes. The role requires strong web technologies, debugging, communication, and customer-facing technical consulting skills.

Lead enterprise technical and business discovery, solution design, demonstrations, and proofs of concept for an AI platform serving financial institutions. Advise technical, security, compliance, and business stakeholders on AI architecture, integrations, and data handling. Develop reusable solution assets, identify recurring customer needs, support presales and post-sale delivery transitions, and provide feedback to Product and Product Marketing.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Leads the strategy, architecture, engineering, governance, and evolution of Salesforce and the broader revenue systems ecosystem. Builds and manages a high-performing team of engineers, architects, administrators, and technical professionals; establishes modern development, CI/CD, testing, deployment, observability, security, and governance practices; owns platform roadmaps and architectural decisions; and drives AI adoption across development and operations. Partners with executives and cross-functional leaders to balance scalability, reliability, data quality, compliance, technical debt, and business priorities.

Reviews, writes, translates, localizes, and copy-edits Portuguese multimedia content across music, television, apps, video, and gaming platforms. Performs linguistic QA, fact-checking, transcription, market research, cultural adaptation, and terminology management. The role also reviews team work, develops training materials, reports content issues, and collaborates with global localization teams to ensure accurate, culturally appropriate content for the Brazilian Portuguese market.

Owns full-cycle B2B sales and business development for translation, localization, and language technology solutions. Responsibilities include prospecting, pipeline generation, discovery, solution development, proposals, RFP responses, negotiation, contracting, forecasting, and client handoff. The role builds executive relationships, meets revenue and activity targets, collaborates cross-functionally, represents the company at industry events, and maintains accurate CRM data. This is a remote U.S. position requiring less than 25% travel.