Top AI Jobs in Denver & Boulder, CO

The Corporate Counsel will provide legal support for SaaS agreements, manage disputes, negotiate contracts, and ensure compliance within the insurance sector.

Oversee AI/ML training and communication initiatives, manage complex programs, and develop content ensuring alignment with company goals.

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

The Sr. Competitive Intelligence Analyst supports AI for Security portfolio, analyzing competitors' strategies and providing actionable insights to enhance CrowdStrike's market position.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

As a Senior Staff Engineer, you will design, build, and ship AI-powered retirement features, collaborating closely with product and design teams.

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.

The role involves collaborating with business units to implement AI agents, facilitating training, and exploring innovative AI applications while acting as a consultant to drive adoption.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

Lead end-to-end post-training lifecycle for LLMs: curate SFT and preference datasets, run SFT and preference optimization, evaluate and monitor models, deploy agentic LLM systems, integrate into low-latency production, and provide technical leadership for alignment, safety, and versioning.

Partner with a C-level executive to identify AI use cases, conduct workflow audits, design automated workflows and copilots, prototype AI tools using existing platforms/APIs, educate leadership on AI risks and best practices, and produce documentation and playbooks.

Design and build production-grade security automation and AI-assisted SOAR playbooks to convert detections into policy-driven responses. Integrate across identity, endpoint, network, cloud, and SaaS, embed guardrails, ensure measurable and auditable outcomes, and enable self-healing and resilient automation. Collaborate with platform owners and response teams and embed security controls into CI/CD and policy-as-code pipelines.

As an Associate Platform Engineer, you will build AI and Automation tools, collaborate with teams, and develop scalable applications on AWS, focusing on best practices.

The Senior Sales Engineer will act as a technical advisor to enterprise clients, leading technical sales cycles, delivering demos and POCs, and advising on AI adoption strategies.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

The AI Value Specialist will provide financial insights for AI initiatives, define metrics, maintain valuation models, facilitate project intake, and partner with teams to develop business cases.

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.

Build and own full-stack UX and backend systems for the ML lifecycle: design architecture, integrations, observability, CI/CD, and production frontend/backends. Lead technical initiatives, mentor engineers, and collaborate across teams to scale ML platform capabilities.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.