Top AI Jobs in Denver & Boulder, CO

Lead design of the Agentic Apps Framework for Zeta Developer Platform: define AI interaction patterns, build scalable design systems in Figma, prototype motion and micro-interactions, partner with Product and Engineering, mentor designers, and establish standards to deliver production-grade agentic experiences at scale.

The Principal Product Manager, Voice AI will define the strategy for voice technology in restaurants, leading evaluations, vendor negotiations, product pilots, and creating a reusable voice platform. Responsibilities include driving commercialization, managing cross-functional teams, ensuring operational readiness, and mentoring other product managers.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and optimize ML models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, and deliver customer workshops and collateral. Up to 25% travel.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Lead AI adoption and workflow redesign in Toast's marketing team, focusing on change management, governance, and measurable transformation programs.

The Regional Sales Manager will develop sales strategies, build relationships with healthcare decision-makers, manage the sales cycle, and meet sales targets.

Responsible for redesigning mortgage operations, improving efficiency with emerging technologies, and collaborating across teams for a scalable operating model.

The Senior Solution & Customer Marketing Manager will develop go-to-market strategies for Rocket Software's Agentic AI platform, engaging with various teams to drive product launches and optimize customer engagement through effective messaging and insights.

The role involves leading a team of Forward-Deployed Machine Learning Engineers to deliver AI solutions, manage project execution, and enhance operational excellence.

Lead a cross-functional team to define and execute the product roadmap for Capacity Management and AI Virtual Agents. Own product lifecycle from research through launch, set KPIs for revenue and adoption, drive integrations via APIs, and apply ML/AI/IoT opportunities. Collaborate with R&D, go-to-market, and strategic partners to improve product-market fit and expand addressable market while resolving escalations and optimizing customer outcomes.

Lead discovery and delivery of AI-enabled digital products by defining vision, shaping learning-oriented roadmaps, managing backlogs, designing experiments, validating hypotheses, and using customer feedback and metrics to guide product decisions. Collaborate with cross-functional teams to iterate prototypes, run pilots, and support go-to-market as AI concepts scale.

The Engineer Principal will lead spacecraft testing operations, mentor team members, develop test strategies, and manage integration processes, focusing on spacecraft systems and subsystems.

The Senior Director of AI & Architecture will lead Vantor's AI strategy and development, manage AI adoption, and oversee platform and architecture improvements across the organization.

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.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.

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.

Act as the technical presales lead for AI agent and cloud identity security across North America: scope engagements, design and run POCs and architectures across AWS/Azure/GCP, secure non-human and machine identities, create repeatable technical assets, and partner with account teams to close deals.

As a Software Engineering Co-op, you'll execute projects independently, engage with AI technologies, and collaborate on innovative ICT solutions to develop your engineering skills.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

The Product Counsel will advise on legal aspects related to AI adoption, data protection, and product development, collaborating with teams across Stripe.

Run and scale Talent Acquisition enablement and AI-adoption programs: design training and onboarding for recruiters and hiring managers, define success metrics, build dashboards, document processes, and partner cross-functionally to measure and iterate program impact.

Senior SRE on the IT Operations team owning reliability, monitoring, and incident response for AI infrastructure. Build automation, CI/CD and Kubernetes tooling, improve observability and documentation, and develop internal full-stack tools using Go or Python. Partner with Infrastructure, Security, and Compliance to scale secure, resilient AI deployment pipelines.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.