Top Natural Language Processing Jobs in Denver & Boulder, CO

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.

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.

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.

Lead application and infrastructure security for LiteLLM, focusing on Python code reviews, vulnerability remediation, threat modeling, secure development tooling, CI/CD and supply-chain security, cloud and IT controls, incident response, and LLM-specific attack testing. Partner closely with engineers to strengthen authentication, authorization, tenant isolation, secrets management, deployment security, monitoring, vulnerability management, and disclosure processes.

Own the architecture, roadmap, reliability, and scalability of AlphaSense’s cloud-native Data Platform. Build large-scale data migration capabilities across cells, regions, and geographies; enable self-service storage provisioning; and drive data placement, replication, tenant routing, and isolation. Partner with Cloud Platform, SRE, and DevEx teams, establish managed-first standards, identify scalability risks, contribute code across teams, and mentor senior engineers.

Recruit business talent across People, Finance, Revenue, Marketing, Communications, and Operations. Build and manage talent pipelines, source passive candidates, partner with hiring managers, maintain recruiting funnel analytics, monitor market trends, and develop proactive sourcing strategies. The role also involves cultivating industry networks, supporting diversity and inclusion, and leading high-impact talent projects in a fast-growing AI technology company.