Top AI Jobs in Denver & Boulder, CO

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

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.

Lead the AI Operations team, focusing on strategic initiatives, hands-on implementation of AI solutions, and developing automated workflows to improve efficiency.

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

Design and implement AI architectures, lead strategy for agentic systems, partner with teams for scalable AI solutions, establish AI governance practices.

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.

Design, build, and maintain scalable software systems for Zocdoc's AI Phone Assistant, integrating AI workflows, leading system optimization, and collaborating across teams to enhance healthcare communication.

The GTM AI Agent Builder will design and implement AI-driven automation processes to enhance revenue operations and drive growth for Gusto's Sales and Marketing teams. Responsibilities include creating a comprehensive AI strategy, aligning with leadership on automation opportunities, measuring impact, and integrating with existing systems.

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

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

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 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 Sr. Competitive Intelligence Analyst supports AI for Security portfolio, analyzing competitors' strategies and providing actionable insights to enhance CrowdStrike's market position.

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.

Design and implement automations and AI integrations within HR technology, focusing on systems like Moveworks and Workday HCM. Collaborate with stakeholders to ensure technical alignment with HR goals.

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

Drive AI integration strategies and partnerships, provide architectural guidance, and facilitate technical discussions. Design solutions ensuring security and governance for AI services.

Lead and execute outbound marketing campaigns using product engagement data to prioritize outreach efforts, improve messaging, and enable sales effectiveness.

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

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 Product Designer, AI creates dynamic AI-driven prototypes using customer data and design tools, focusing on user-centered design for personalized experiences.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

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.