Top AI Jobs in Denver & Boulder, CO

Provide day-to-day legal counsel to Product, Engineering, Marketing, and Ops across the product lifecycle. Assess legal risk around privacy, data, security, IP, open-source, export controls, and AI. Draft and negotiate commercial and data protection agreements, support incident response and regulatory matters, and build scalable legal playbooks and automation to enable global product launches and compliance.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead and manage a Medical Science Liaison (MSL) team to execute medical plans, engage KOLs and healthcare stakeholders, disseminate scientific data, collaborate cross-functionally for product initiatives, ensure regulatory compliance, monitor scientific trends, and represent the company at scientific events. Requires deep oncology and molecular biology expertise.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.

Lead technical discovery and design of hybrid and multi-cloud architectures, align solutions to business outcomes, support sales throughout the cycle, ensure security/compliance, design networking/connectivity, and coordinate public cloud specialists for deeper scoping.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

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

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

The Manager, Search & AI Visibility will execute SEO strategies across multiple brands, optimize web performance, partner with engineering, and enhance organic visibility through analytics and reporting.

Lead governance and administration of Outreach and AI-enabled sales tooling, build and optimize sequences, run experiments and analyze performance, drive cross-functional adoption and change management, and measure business impact on prospecting efficiency and pipeline generation.

Lead go-to-market for a new AI product: define segments, run discovery and demos, own onboarding and activation, run experiments, partner with product and engineering, and build repeatable GTM processes to drive adoption and retention.

Lead the AI Platform team to build and scale ML and agent runtimes, including data/model enrichments, orchestration, observability, evaluation, and reliability. Set platform strategy, define standards, prioritize cross-functional work, and grow engineers while balancing velocity, security, and operational rigor for mission-critical defense applications.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

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

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

Lead a small AI engineering team (4–8), own end-to-end delivery for an AI product domain, stay hands-on with architecture and code, build production LLM/IDP/agentic systems, ensure observability and reliability, mentor engineers, and collaborate cross-functionally to deliver scalable AI features for insurance customers.

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.

Lead and execute spacecraft assembly, integration, and test campaigns; define AI&T strategies and test flows; mentor engineers and technicians; manage GSE, facilities, cost/schedule estimates, and proposal input; ensure rigorous verification in cleanroom and lab environments while tracking performance metrics and reducing risk.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Lead the Registry design org end-to-end: set UX vision, KPIs, and quality standards; ship cross-platform web and mobile experiences; embed AI-native workflows; prototype and contribute production-quality interfaces; run generative and evaluative research; scale design systems; partner with PMs, engineers, and analytics; and hire, develop, and manage a high-performing team of product designers.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.