Top AI Jobs in Denver & Boulder, CO

As Senior Counsel, Product, you'll partner with R&D teams, offering legal guidance on healthcare regulations and technology innovations, ensuring compliance while fostering business growth.

As a Product Owner, you will oversee AI, ML, and automation initiatives within the Pet Insurance sector, managing product backlogs and collaborating across teams to enhance operational efficiency and customer experience.

Lead the product strategy for the Data and AI Platform, focusing on customer-oriented AI features, roadmap execution, and collaboration across teams to enhance identity security solutions.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The Sr. Channel Manager will drive revenue and partnership growth, strategize with key partners, and foster collaboration across the organization. Responsibilities include pipeline generation, tactical execution, and motivating sales teams to achieve goals.

The Senior Software Engineer will build and maintain core services for production-grade agent systems, enhance AI automation across teams, and design scalable backend systems.

Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.

Lead the development and implementation of AI-powered coding tools, driving technical strategy and ensuring system performance across distributed applications.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

The role involves establishing AI product strategy, managing development cycles, evaluating vendors, and collaborating with technical and business teams to innovate revenue growth.

The Software Engineer II will develop and support AI-driven projects, engage in code reviews, and collaborate with product teams to enhance user experience on the YCharts platform.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

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.

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

The AgentOps AI Technical Lead will guide the architectural design and implementation of AI-driven automation solutions and mentor engineers to ensure technical excellence.

The AgentOps AI Engineer designs, develops, and deploys AI agents and automation solutions, integrating AI into business systems to enhance efficiency.

Lead the development of Contact Center AI solutions, improve customer engagement, and oversee multiple projects while managing client relations and mentoring teams.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

The AI Growth Lead at Coinbase will drive AI adoption by collaborating with teams to identify opportunities, design prototypes, and ensure the deployment of sustainable AI solutions while maintaining compliance and fostering collaboration across functions.