Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

The Staff AI Engineer will architect and deliver AI systems, mentor engineers, and design scalable infrastructure for LLM-driven applications.

The Senior AI Engineer designs and deploys AI agents and workflows, collaborating across teams to deliver reliable AI solutions that drive business outcomes.

The Full Stack AI Engineer will develop and maintain AI agents, build clinician-facing products using React and Python frameworks, and manage data infrastructure to support clinical workflows.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

The AI Engineer will design backend systems for workflows, optimize multi-agent pipelines, develop knowledge retrieval systems, and collaborate to integrate workflows using LLMs and traditional systems.

The Applied AI Engineer role involves designing, building, and deploying AI-powered systems, collaborating with business teams, and measuring solution impact. Responsibilities include translating workflows into systems, driving outcomes, and ensuring regulatory compliance while fostering community sharing of learnings and tools.

The AI Engineer III is responsible for the reliability and scalability of AI solutions, managing CI/CD pipelines, observability, and ensuring security in deployments. They architect and maintain tools within Azure AI Foundry, collaborate with SRE teams, and optimize model performance while enforcing governance through automated controls.

The Senior AI Engineer will develop AI solutions for incident management, collaborate cross-functionally, and enhance observability tools through iteration and ownership.

The Senior AI Engineer will design and maintain customer-facing AI tools by building APIs, optimizing workflows, and conducting experiments with generative AI models, ensuring system reliability and integration with production systems.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.

The role involves developing AI-powered features, including agent capabilities, ensuring their reliability and scalability, and collaborating with cross-functional teams. Candidates should have strong hands-on experience with LLMs and Python in production environments.

Design, build, and operate production-grade AI and automation systems for GTM teams. Implement multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, maintain CI/CD and reliability, enable stakeholders with docs and playbooks, and measure business impact through routing, analytics, and human-in-the-loop orchestration.

The Senior AI Engineer will create systems to manage cybersecurity alerts using AI, designing and implementing production pipelines and retrieval systems, while ensuring clear decision-making in security contexts.

As a Staff AI Engineer, you'll own the architecture of AI pipelines, lead technical projects, mentor engineers, and influence product development in cybersecurity.

As a Staff Backend AI Engineer, you will design and operate backend AI systems for Arbiter's care orchestration platform, ensuring reliability, low latency, and scalability while collaborating across teams and mentoring junior engineers.

The pega6 Fellowship is a 12-month program for recent CS grads, providing training to build AI software and transitioning them into full-time roles.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.

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

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

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.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

The Staff AI Engineer will drive architecture and implementation of AI-assisted engineering practices, overseeing technical standards, automated testing, and code review systems for software development in a regulated fintech environment.

Responsible for designing and deploying AI solutions, developing ML models, collaborating with teams, ensuring model performance, and adhering to ethical guidelines.

Interns will create a RAG pipeline for the HCL Informix Database Server, configure tools in VSCode, and capture system performance metrics.