Top AI Jobs in Denver & Boulder, CO

The AI Solutions Engagement Lead will cultivate client relationships, ensure effective ML/AI solutions delivery, drive value realization, and lead training initiatives in healthcare settings.

The intern will support software development for spacecraft systems, engage in collaborative projects, and gain practical experience in programming, debugging, and code reviews.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

As Senior Counsel, you will support Product and Engineering teams with regulatory guidance in health technology. Responsibilities include translating regulations into actionable guidance and helping develop compliance strategies.

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

As a Manager of Security Firmware, lead a team to develop security firmware for SSD products, ensuring quality and collaboration across engineering teams while implementing Agile practices.

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

Lead design and scaling of automated test frameworks across UI, API, integration, and performance layers. Integrate AI-enabled test generation and monitoring, embed tests in CI/CD pipelines, ensure audit-ready documentation for GxP/21 CFR Part 11 compliance, and collaborate with Engineering, DevOps, and Quality to increase automation coverage and release confidence.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

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.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

Architect and lead large-scale cloud data platforms and AI/ML frameworks to ingest and process security telemetry. Build production ML and Generative AI solutions (LLMs, agents) to automate SOC workflows, improve threat detection, and reduce analyst workload while guiding cross-team integrations and MLOps practices.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

The Senior Full-Stack Engineer will lead technical areas, develop AI application services, maintain APIs, collaborate on design, and ship product features.

The Principal Software Engineer will lead AI automation efforts at Coinbase, designing AI-driven systems, mentoring teams, and solving complex AI challenges to improve operations and developer productivity.

The Technical Consultant will provide technical expertise for enterprise B2B projects, collaborate with teams for implementation, and ensure client success.

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 AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

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 Product Owner will drive the development of AI products, collaborating with stakeholders, managing backlogs, and optimizing product performance through data-driven insights.

As a Senior Solutions Architect, design scalable AI/ML solutions, collaborate across teams, influence strategies, and engage with customers to implement cloud solutions that meet their business goals.

Design, build, and operate scalable AI/ML platforms and MLOps pipelines for cloud and edge environments. Implement real-time inference, integrate AI services with OSS/BSS, manage model lifecycle and monitoring, and mentor engineers to deliver production-grade AI solutions for network optimization and customer experience.

The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.