Top AI Jobs in Denver & Boulder, CO

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.

Lead AI enablement for the product organization by building AI productivity infrastructure: skills, plugins, context libraries, templates, and environments. Drive AI adoption, configure toolchains and data access, partner with Engineering/Finance, train PMs, track usage and outcomes, and measure impact on PM efficiency and business-case consistency.

Lead strategy and roadmap for IVR and chat conversational AI, deploy and optimize generative AI agents, curate training data, build performance dashboards, ensure governance with legal/compliance/UX, and run analytics-driven A/B experiments to improve containment and accuracy.

Design and implement AI/ML solutions using Oracle and modern AI tooling; analyze complex problems, mentor junior staff, build client relationships, manage data pipelines, and support deployment, monitoring, and integration of models into enterprise applications while upholding professional standards.

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.

Build and operate an enterprise AI platform and integrations that connect LLMs to internal systems. Develop production AI applications, manage model/provider evaluations, ensure security/compliance for government environments, and deliver company-wide AI training and enablement.

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 Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead AI transformation projects for enterprise customers using monday.com and generative/agentic AI to design AI-powered workflows, build configurations and integrations, manage projects, present to executives, mentor junior consultants, and influence product roadmap and practice development.

Design and deliver LLM-powered agentic systems to automate customer support and compliance. Build scalable, secure backend infrastructure (Python/Go), model integration pipelines, grounding and guardrail mechanisms, monitoring, and measurement frameworks. Drive end-to-end AI projects, partner with cross-functional teams, lead code reviews, mentor engineers, and participate in on-call and incident response.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

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.

Lead product management in AI-driven safety solutions, focusing on video-based safety products, managing a roadmap and collaborating across teams for customer impact.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

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.

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 Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

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

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

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.

Lead the development and scaling of the AI Applications Platform, overseeing product vision, R&D, and business strategy for a high-performance team.