Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

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.

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.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

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 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.

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.

Transform complex data requirements into scalable AI infrastructure using Databricks and Spark. Implement CI/CD workflows, maintain high-quality code, and oversee data pipelines' evolution for cross-functional teams.

This role leads delivery coordination and portfolio operations for MetLife's Composite AI team, ensuring commitments, managing risks, and developing teams across multiple platforms.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

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.

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

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.

The Senior Engineer will architect self-healing infrastructure, design AI orchestration workflows, automate incident resolution, and establish AI best practices, focusing on Generative AI and observability.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.