Top AI Jobs in Denver & Boulder, CO

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The intern will support software development for spacecraft systems, engage in collaborative projects, and gain practical experience in programming, debugging, and code reviews.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

As Senior Counsel, you will support Product and Engineering teams with regulatory guidance in health technology. Responsibilities include translating regulations into actionable guidance and helping develop compliance strategies.

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

The role involves shaping product messaging for Charlotte AI, leading marketing initiatives, and developing go-to-market strategies. Collaborates with various teams to drive customer adoption and competitive positioning.

Lead the AI Center of Excellence to drive enterprise AI transformation, aligning initiatives with business goals, and ensuring ethical AI governance.

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 engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.

Build and operate AI platform infrastructure, integrations, and custom AI-powered applications; evaluate AI providers; enable company-wide AI adoption through training and documentation; ensure deployments meet government security and compliance requirements.

Design, build, and maintain an enterprise AI platform: infrastructure, integrations, and custom AI applications. Own provider evaluation, secure deployments, and company-wide AI training and enablement. Partner with engineering, security, and IT to meet government compliance and operational requirements.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Principal Design Operations Program Manager will enhance AI-enabled design practices, driving behavioral change and cross-functional workflows at Toast.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The AI Value Specialist will provide financial insights for AI initiatives, define metrics, maintain valuation models, facilitate project intake, and partner with teams to develop business cases.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

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.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The role involves collaborating with business units to implement AI agents, facilitating training, and exploring innovative AI applications while acting as a consultant to drive adoption.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.