Top AI Jobs in Denver & Boulder, CO

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

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

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

Lead strategy and execution to optimize educational content for AI-driven self-service. Define content structure, metadata, and governance; partner cross-functionally to improve discovery, AI accuracy, and support deflection; use analytics to identify gaps and scale solutions that increase customer self-sufficiency.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

The Marketing Operations Manager - AI Tools will lead strategy and execution for AI technologies in marketing, optimizing workflows and engagement across teams while tracking performance metrics.

The role involves designing and implementing AI/ML solutions for geospatial intelligence, using diverse data types and advanced algorithms while mentoring teams and supporting program execution.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The Product Owner will drive the development of AI products, collaborating with stakeholders, managing backlogs, and optimizing product performance through data-driven insights.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.

As a Senior Solutions Architect, design scalable AI/ML solutions, collaborate across teams, influence strategies, and engage with customers to implement cloud solutions that meet their business goals.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.