Top AI Jobs in Denver & Boulder, CO

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.

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

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

As an AI Outcomes Manager, you will lead AI adoption in legal practices, create measurable workflow solutions, and ensure effective product implementation aligned with client needs.

As Staff AI Product Manager, you will lead the strategy and execution for GPU products, align them with business objectives, and ensure successful development and delivery to meet market demands.

Lead design and operation of AI/ML platform, mentor engineers, ensure operational excellence, and collaborate on scalable technical roadmaps.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

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

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

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 creating technical content, managing technical communities, and fostering relationships in cloud and AI technology while maintaining a hands-on approach with technology.

Manage AI platforms, focusing on zero and low-code solutions. Collaborate with vendors and engineering teams to enhance AI capabilities and cross-functional integrations.

Design and maintain Tableau dashboards, optimize Tableau Cloud, drive AI feature adoption, and automate workflows using Python and Control-M.

Lead AI integration in enterprise applications, transforming internal systems and workflows. Collaborate with multiple teams for automation and optimization, governing AI protocols while ensuring compliance and measurable impact.

Lead a team of 12-20 engineers in managing AI integrations for Dropbox's File Sync & Share product, emphasizing software quality and operational excellence while collaborating across teams.

The Vice President will lead AI strategy, managing cross-functional teams to embed AI into operations, drive transformation, and ensure governance, while aligning initiatives with revenue goals.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The Principal Product Manager - AI will lead strategy, execution, and launch of AI features, collaborating across teams to enhance product offerings and customer value in the SaaS space.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

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.

The Senior Staff Machine Learning Engineer will lead AI/ML initiatives, design scalable models, mentor engineers, and combat financial fraud through advanced methodologies.

As a Senior Machine Learning Engineer, you'll lead the design, development, and implementation of ML models to detect risks like fraud and account takeovers, while mentoring junior team members and collaborating with stakeholders to translate business needs into technical solutions.

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.