Top Remote Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.

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

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.

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

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

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

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

As a Senior AI Controls Solutions Engineer, you'll operationalize Phaidra's AI solutions for enterprise data center customers, collaborating with teams to model facilities and define product requirements, applying deep knowledge of control systems and AI technologies.

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

The Senior GTM Engineer in AI Innovation will strategize and implement AI initiatives across Marketing, Sales, and Customer Success while also leading cross-functional efforts and managing a growing team.

The Staff IT Engineer will lead AI enablement by developing tools, integrating systems, automating workflows, and enhancing business productivity across Openly.

The ServiceNow AI Engineer will design and develop AI-driven applications on the ServiceNow platform, integrating machine learning and NLP solutions, managing application development processes, and supporting ServiceNow implementations.

The AI Engineer will design and deploy machine learning models and AI agents to optimize logistics workflows, collaborating with cross-functional teams to integrate solutions.

The Developer Relations Community Manager will engage AI developers, create technical content, manage community operations, and drive advocacy and adoption for Runpod's AI infrastructure platform.