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.

The Product Manager II will define the strategy and roadmap for Conversational AI, manage AI agent design and configuration, collaborate with stakeholders, and oversee quality assurance processes for AI performance optimization.

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.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Design and productize AI decision-making systems for a game engine, utilizing HTNs and GOAP to create intelligent behaviors for entities.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

The AI / Automation & Governance Owner will develop governance frameworks, maintain AI systems, ensure compliance, and drive technical stability for automation tools within the organization.

The role involves leading the vision and execution of Zapier’s AI Capabilities team, overseeing the development of AI platform infrastructure, collaborating cross-functionally, and translating AI capabilities into user-facing components.

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 Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

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.

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

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

As a Senior Associate on the RMS team, you will develop AI models, mentor junior members, and ensure compliance with regulations while enhancing client relationships.

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.

Collaborate as a trusted engineering lead to design and build AI agents, develop across the full web technology stack, and enhance existing products in a Scrum Agile environment.

The Partner Platforms Manager, AI will design and manage partner systems, automate workflows, integrate systems, and ensure process scalability and compliance in partnership operations.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

The Senior Product Manager will lead LLM Operations, focusing on agent chaining, model orchestration, and developing user-friendly tools for marketers.

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