Top AI Jobs in Denver & Boulder, CO

Lead and grow a team of Azure Solution Engineers to drive cloud migration, application modernization, and AI adoption for Education, Nonprofit, and IGO customers. Partner with sales, engineering, product, and partners to deliver secure, governed, and scalable Cloud & AI solutions, scale repeatable plays, and coach technical talent to achieve measurable customer and business outcomes.

Lead product strategy and execution for a product area: run discovery with customers, prioritize a backlog using insights and AI tools, work closely with engineering to deliver, and partner with sales, marketing, and customer teams to launch and drive adoption.

Lead strategy and roadmap for AI agents across detection, troubleshooting, and remediation. Define goals, prototype with AI tools, set evaluation criteria for accuracy and safety, partner with engineering and design from discovery through delivery, and represent the product to customers and stakeholders.

Mid-level computer scientist/data scientist applying AI/ML and analytics to Intelligence Community missions. Responsibilities include data exploration, predictive modeling, operationalizing models (containerization, cloud), developing analytic software, integrating FOSS/COTS, version control, and producing visualizations and research outputs for national security stakeholders.

Lead and scale the Enterprise AI & Digital Natives sales segment in the NYC region. Own revenue targets, recruit and mentor a field sales team, advise CTOs and engineering leaders on Cloudflare solutions (Workers AI, R2, network security), drive new logo acquisition and account expansion, partner with Product/Customer Success/Solutions Engineering for go-to-market execution, and personally help close complex, high-value enterprise deals.

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.

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.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Lead and execute integration, assembly, and acceptance testing of spacecraft hardware in lab and cleanroom environments. Develop and run AI&T test procedures, maintain test logs and reports, use GSE and test equipment, troubleshoot systems, collaborate with engineers and customers, and support launch operations.

Lead global sales enablement to drive revenue via targeted programs, training, playbooks, onboarding, manager coaching, and analytics. Partner with Sales, RevOps, Product, and Marketing to align enablement to revenue goals and measure impact.

Own Eve's visibility across AI answer engines by creating citation-worthy content, auditing and optimizing site content and structured data for AI retrieval, tracking AEO metrics, running growth experiments and distribution, collaborating with marketing/PR to place content where citations originate, and managing contractors/agencies for content and technical SEO.

Partner with enterprise customers to define AI transformation strategy, prioritize high-impact use cases, drive adoption and measurable business outcomes, and coordinate cross-functional teams to realize scaled marketing AI programs and executive-level value.

Lead deployment of AI and automation across Global Media Operations: identify opportunity areas, define AI strategy and reference architecture, manage teams and vendors, deliver end-to-end solutions, develop SOPs and training, measure adoption, and partner with Product, Engineering, and Enterprise AI to ensure secure, scalable implementations.

Support defense business development and acquisition planning by conducting market and opportunity research, analyzing contract vehicles and timelines, assisting proposal and capture activities, and supporting early-stage program management tasks (schedule, cost, risk). Requires translating military acquisition experience to a commercial startup environment, producing briefings and decision materials, and maintaining security-clearance eligibility with up to 20% travel.

Serve as primary post-sales strategic partner for largest enterprise clients, driving AI Agent adoption, ROI, optimization, governance, renewals, and cross-functional advocacy to turn customers into champions.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

Lead development of advanced analytics and AI/ML solutions (particularly LLMs/agentic AI) for classified clients. Translate complex datasets into actionable insights, guide teammates, build and evaluate models, visualize results for non-technical leadership, and support work on classified networks with required TS/SCI clearance.

Lead design, launch, and lifecycle management of Pluralsight solutions (AI, Cloud, Security). Define expert POV, build curricula, labs, assessments, and blended learning programs. Own roadmap, metrics, GTM partnership with Sales and Marketing, and continuous iteration using data and SME collaboration to drive enterprise customer outcomes.

Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.

Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Lead architecture and delivery of AI-native features for a multi-tenant SaaS platform. Drive cross-functional technical initiatives, design scalable microservice systems, integrate LLMs and agent frameworks, set engineering standards, and mentor engineers to elevate technical execution.