Top AI Jobs in Denver & Boulder, CO

Oversee AI/ML training and communication initiatives, manage complex programs, and develop content ensuring alignment with company goals.

Ensure the success of top customers by developing relationships, driving product value, ensuring satisfaction, and collaborating across departments.

Build and own full-stack UX and backend systems for the ML lifecycle: design architecture, integrations, observability, CI/CD, and production frontend/backends. Lead technical initiatives, mentor engineers, and collaborate across teams to scale ML platform capabilities.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The AI Platform Administrator will monitor, maintain, and optimize AI platforms, assist with deployment, provide user support, and document processes.

The Senior Director of Enterprise Architecture and AI will define GitLab's architecture strategy, govern internal systems, and lead integration and AI teams. Key responsibilities include setting standards, reducing shadow IT, and ensuring compliance with security standards while enhancing business objectives through AI and automation.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Drive business growth by partnering with Account Executives, delivering product demos, managing POCs, and maintaining expert knowledge of products.

The AI / Automation & Governance Owner will develop governance frameworks, maintain AI systems, ensure compliance, and drive technical stability for automation tools within the organization.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

The Senior Software Engineer will lead AI/ML projects, developing features and APIs primarily using Python and Go, ensuring operational excellence and collaboration for architectural solutions.

This role involves developing machine learning models, designing GenAI solutions, transforming data, collaborating on deployment, and mentoring teams while communicating insights effectively.

The AI Self-Service Program Manager leads AI-driven customer experience programs, focusing on Chatbot and Voice AI platforms to enhance support efficiency, customer satisfaction, and operational metrics through innovation and collaboration.

The Corporate Counsel will provide legal support for SaaS agreements, manage disputes, negotiate contracts, and ensure compliance within the insurance sector.

Lead discovery, prototype, and productionalize AI automation across functions. Build LLM-based agents and copilots, write production-quality Python/Golang services, ensure security and responsible AI, drive adoption, measure ROI, and collaborate with core AI, legal, and business teams.

Lead and execute M-Files' global thought leadership and market narrative for document management, ECM, and AI. Act as executive spokesperson at events, brief analysts and media, develop proprietary frameworks and content, and align product, sales, and marketing strategies to influence enterprise buyers and drive brand authority.

The AI Specialist will manage MarTech solutions, integrate AI/ML in marketing, design no-code applications, and optimize processes across teams.

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

Architect and lead large-scale cloud data platforms and AI/ML frameworks to ingest and process security telemetry. Build production ML and Generative AI solutions (LLMs, agents) to automate SOC workflows, improve threat detection, and reduce analyst workload while guiding cross-team integrations and MLOps practices.

Lead the design of Zeta Developer Platform's AI-first experience—creating conversational interfaces, scalable design system components, motion-driven interactions, and prototypes. Partner with product and engineering to define AI interaction, explainability, and platform-wide UX patterns that build trust and consistency.

Lead design of the Agentic Apps Framework for Zeta Developer Platform: define AI interaction patterns, build scalable design systems in Figma, prototype motion and micro-interactions, partner with Product and Engineering, mentor designers, and establish standards to deliver production-grade agentic experiences at scale.

The Senior Product Manager will lead LLM Operations, focusing on agent chaining, model orchestration, and developing user-friendly tools for marketers.

Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.