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.

Owns Pfizer GH&B’s AI-ready Snowflake data warehouse, data architecture, ontologies, governance, quality, lineage, access controls, and production reliability. The role supports AI/ML models, dashboards, and business-critical data applications; establishes testing, release, monitoring, and incident processes; directs contingent technical resources; and aligns business-specific data decisions with enterprise standards. Requires strong SQL, Python, Collibra, data warehousing, unstructured-data architecture, ontology, governance, and stakeholder-influence experience.

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.

Owns Deepgram’s North American events and field marketing portfolio, including 20+ trade shows, conferences, partner programs, executive events, roadshows, and account-based initiatives. Responsibilities include event strategy, budgeting, vendor and contract management, partner funding, brand activations, sales enablement, pipeline attribution, lead routing, ROI analysis, and post-event reporting. The role partners closely with Sales, Demand Generation, Product Marketing, alliances, and Marketing Operations, while developing AI-powered workflows and supporting the Deepgram Speak event series.

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.

Own Uzbek Cyrillic language quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing linguistic expert, interpret style guides and quality frameworks, manage arbitrations and escalations, coach reviewers, facilitate alignment sessions, track quality trends, and convert recurring issues into style guide improvements. The role is remote freelance work of approximately 24 hours per month for candidates in approved countries.

Designs and deploys high-performance LLM inference systems within complex enterprise environments. Responsibilities include multi-tenant model serving, intelligent routing, disaster recovery, Kubernetes deployments, performance benchmarking, hardware validation, observability, and production reliability. The engineer partners directly with customer engineering and executive stakeholders, translates field challenges into product improvements, and writes production code across infrastructure and backend layers.

Manages directed-content research projects for the Energy and Industrials sectors. Defines research scope, project angles, and expert-vetting questions; reviews expert profiles; monitors scheduling, compliance, rates, and project output; balances analyst workloads; and coaches analysts on sourcing quality. Partners with research leaders, client contributors, and contributor-relations teams to align expert insights with client needs, supports analyst hiring and onboarding, and maintains sector knowledge resources.