Top AI Jobs in Denver & Boulder, CO

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 AI Value Specialist will provide financial insights for AI initiatives, define metrics, maintain valuation models, facilitate project intake, and partner with teams to develop business cases.

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.

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.

The Senior Director of Enterprise Architecture and AI will define GitLab's architecture strategy, govern internal systems, and lead integration and AI teams. Key responsibilities include setting standards, reducing shadow IT, and ensuring compliance with security standards while enhancing business objectives through AI and automation.

The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.

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.

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 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.

The AI Platform Administrator will monitor, maintain, and optimize AI platforms, assist with deployment, provide user support, and document processes.

Lead the AgentOps team in designing and implementing AI automation solutions. Mentor engineers, enforce best practices, and drive technical excellence.

The AI/ML Engineering Intern will support the Device Engineering team by optimizing machine learning solutions, developing data pipelines, and evaluating model performance with a focus on Large Language Model applications.

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 AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

Drive business growth by partnering with Account Executives, delivering product demos, managing POCs, and maintaining expert knowledge of products.

Lead the development of AI-powered security products focusing on data access governance and DLP, enhancing Dropbox's capabilities for SMBs and mid-market businesses.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

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 role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

As a Senior Staff Engineer, you will design, build, and ship AI-powered retirement features, collaborating closely with product and design teams.

This role involves developing machine learning models, designing GenAI solutions, transforming data, collaborating on deployment, and mentoring teams while communicating insights effectively.

This internship involves supporting platform engineering tasks related to AI, automation, and process optimization in a telecom environment, with the goal of enhancing existing operations and processes.