Top Artificial Intelligence Engineer Jobs in Denver & Boulder, CO

Lead a team of technical experts in deploying AI-driven customer engagement solutions, ensuring quality, performance, and project goals are met.

Design, build, and deploy enterprise-scale agentic and generative AI systems for healthcare. Architect multi-agent frameworks, implement advanced RAG and multimodal data pipelines, optimize LLM performance and latency, establish MLOps/CI-CD and secure containerized deployments, and collaborate with stakeholders to ensure clinical safety and compliance (HIPAA/HITRUST). Mentor developers and produce production-grade documentation.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Design, build, and operate production-grade AI systems using ML, LLMs, RAG, and agentic workflows. Define evaluation strategies, implement data/retrieval/orchestration layers, apply MLOps/LLMOps, and partner with stakeholders to prioritize, monitor, troubleshoot, and improve AI solutions balancing quality, latency, cost, reliability, and maintainability.

The Senior Partner Solutions Engineer leads technical enablement, supports partner engagement, and drives Customer Experience Automation practices within the Talkdesk platform for key partners across the Americas.

The AI Engineer develops advanced AI systems, manages datasets, creates and integrates machine learning models, and collaborates with teams to enhance applications.

Develop, train, test, and integrate machine learning models; process large datasets; optimize AI systems; collaborate with cross-functional teams; document architectures; ensure ethical, performant AI solutions using cloud services.

The Principal AI Product Engineer leads the development of AI-integrated software solutions, overseeing architecture and mentoring teams. Key responsibilities include technical leadership, AI integration, task decomposition, and enhancing build pipelines.

The Senior AI Engineer will develop and deploy multi-agent systems, automate workflows, integrate enterprise systems, and mentor junior engineers while ensuring quality and security compliance.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.

The Senior AI Engineer will design and implement scalable AI platform services, integrate large language models, and optimize AI capabilities within ClickUp's product, collaborating across teams for innovation.

The Staff AI Engineer will build the AI platform, apply LLMs for intelligent feature development, and ensure system scalability and security while optimizing performance.

Lead development of foundation models, generative AI, and agentic systems for MEP design workflows. Build scalable data pipelines for BIM/CAD and multi-modal geometric datasets, create evaluation and guardrails, translate research into production-grade systems, mentor engineers, and drive technical direction and cross-functional collaboration.

Lead architecture and technical direction for a cloud-native, multi-tenant Student Journey Platform. Design and enforce standards for Kubernetes-based AI services (AKS), event streaming, ML model serving, autoscaling, observability, and compliance. Ensure scalable, reliable, cost-efficient infrastructure, resolve architectural risks and production issues, and align platform decisions with business growth and SLAs.

The Senior AI Engineer will design and implement AI-driven product features, lead architecture reviews, and manage projects from inception to production, using tools like TypeScript and AWS.

The Staff AI Engineer will lead AI product initiatives, design technical architecture for AI systems, and enhance engineering practices with AI integration while collaborating with product and CTO teams.

Join the AI Transformation team to co-develop and productionize the Elixir AI platform: implement runtimes, retrieval/memory, multi-model routing, observability, secure multi-tenant features, event-driven agents, and productize FDE-built solutions while partnering with stakeholders and shipping high-quality production software.

Design, develop, and deploy production AI systems (deep learning, NLP, CV). Build APIs, integrate models into products, optimize inference (quantization, pruning, ONNX), maintain model lifecycle, and research generative AI, reinforcement learning, and advanced techniques.

As a Forward Deployed AI Engineer, you will architect, build, and deploy Generative AI systems while working closely with customers to ensure mission success. Your role involves mission-driven software delivery, collaborating with various stakeholders, and defining solution roadmaps.

As a Senior AI Engineer, you will design a compliance scraping engine and AWS infrastructure, focusing on AI-driven technologies to efficiently monitor credit card offers while ensuring high accuracy and controlled costs.

Lead the transformation of our marketing ecosystem by designing AI-driven workflows, building generative asset pipelines, and developing predictive models while ensuring compliance with global privacy standards.

Design, build, and operate production multi-agent AI systems and automation for Marketing Operations. Integrate LLMs with business data (BigQuery, CRMs, Slack), build MCP servers, APIs, and scalable serverless/containerized services, implement observability and governance, and partner with GTM teams to deliver measurable automation and self-service workflows.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

The Senior Software Engineer will develop AI-powered workflows and internal tools, ensuring integration with sales and operational systems, while collaborating with various teams to enhance efficiency and automation.

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.