Top AI Jobs in Denver & Boulder, CO

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 Principal Strategic Architect designs and implements managed services applications, ensuring architectural alignment with business strategy. Responsibilities include strategic planning, governance, evaluation of new technologies, creating prototypes, establishing coding standards, and leading digital transformation initiatives.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

The role involves managing the Velocity Black Concierge product, collaborating with stakeholders, enhancing luxury concierge offerings, and prioritizing product development based on customer experience and business needs.

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

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

As an AI Integration Engineer, you will integrate AI models like ChatGPT into products, collaborating with data science and engineering teams, optimizing performance, and enhancing user experience.

The Forward Deployed Engineer will architect and implement AI solutions for strategic customers, utilizing MongoDB technologies and iterative development. Responsibilities include embedding with clients, leading technical projects, and collaborating closely with sales and engineering teams to deliver impactful AI systems.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

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.

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

Define and own the product vision for AI platforms, lead their design, monitor performance, optimize agents, and collaborate cross-functionally.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

The IT Product Manager will drive AI innovations in product management, work with stakeholders, and deliver AI-powered solutions, guiding product direction and lifecycle management.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

As a Senior Product Designer at Zapier, you will design AI capabilities and human oversight workflows, driving enterprise impact and collaborating across teams.

As a Senior Software Engineer, you will build and maintain production-grade systems, drive AI automation projects, and collaborate with engineering teams on backend development using modern technologies.

As a Senior Machine Learning Engineer at Coinbase, you will lead the design, development, and deployment of advanced risk detection models while mentoring junior engineers. You'll collaborate on technical roadmaps and apply cutting-edge ML methodologies to enhance security against fraud and scams.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The role involves leading AI-powered Compliance Automation initiatives at Coinbase, managing product lifecycle, collaborating with teams, and driving metrics analysis for operational efficiency.

As a Senior Software Engineer, you will develop AI-driven tools, automate workflows, and collaborate across teams to enhance productivity. Responsibilities include building infrastructure, deploying AI agents, and optimizing performance for user-friendly solutions.