Top AI Jobs in Denver & Boulder, CO

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

The Senior Software Engineer will lead technical projects, build AI/ML features, improve APIs, and collaborate on design, ensuring efficient operational practices.

The Principal AI/ML Engineer will develop AI/ML solutions for hardware and firmware validation, enhance test efficiency, and collaborate across teams to implement data-driven analytics and automation.

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

The Data Scientist will research and develop AI/ML solutions, implement experiments, assess existing applications, and collaborate within teams.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

Develop and implement AI solutions, optimize models, preprocess data, integrate AI into workflows, and collaborate with cross-functional teams.

The candidate will research AI cybersecurity challenges, provide strategic insights to clients, develop research content, and deliver presentations. Responsibilities include analyzing market trends and engaging with clients as an industry expert.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Lead a team of AI engineers, manage technical delivery, and oversee production AI systems while fostering team growth and collaboration across the organization.

The AI Engineering Leader will oversee a team of engineers, manage AI feature delivery, ensure production quality, and collaborate with stakeholders while remaining hands-on in technical aspects.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

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

The Data Scientist will develop NLP solutions, analyze large datasets, evaluate model performance, and communicate findings effectively. Requires expertise in programming, statistical analysis, and machine learning.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

The Senior AI Consultant leads the development of AI-enabled consulting services, drives business growth, and engages clients to implement AI solutions in environmental consulting and engineering projects.

AI Writing Evaluators will create prompts and evaluate AI-generated writing for accuracy and clarity, requiring expertise in business operations or education.