Top AI Engineer Jobs in Denver & Boulder, CO

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

The AI Developer role involves designing AI solutions for healthcare clients, focusing on transformation programs, AI integration, and development of CoEs. Responsibilities include client collaboration, AI/ML solution implementation, and leadership in project teams.

The AI Solutions Engineer will develop AI agents and workflows to improve Sales performance, guiding strategies and collaborating across teams to implement AI solutions.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Specialist Software Engineer will design and build AI applications and actuarial systems in a hybrid cloud environment, focusing on AWS services and automation capabilities.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

The Senior AI Engineer will design and implement personalized agent workflows, memory systems, and evaluate AI agents while collaborating with platform engineering on a proprietary platform.

The Sr. Staff AI Engineer designs and delivers scalable AI solutions, collaborates on architecture, ensures compliance, and mentors teams.

Develop full-stack web applications and open-source infrastructure using AI tools. Manage all aspects of project delivery, ensuring design quality and data integrity during migrations.

Design, develop, and deploy AI/ML solutions for validation processes. Collaborate cross-functionally to enhance firmware and hardware validation efficiency using machine learning analytics.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.

The Senior AI Engineer will enhance Gurobi Optimization's platform through AI and machine learning, focusing on integration, testing, and collaboration across teams.

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

The AI Engineer will develop AI-enabled features, design scalable application capabilities, integrate coaching insights, build data pipelines, and mentor the team in AI best practices.

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.

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.

The Staff AI Engineer will design and build TaskRay's AI platform, focusing on architectures for various internal and external AI agents, while establishing engineering standards and mentoring team members.

The Senior AI Engineer will build production agent capabilities, partner with design customers, develop LLM features, and maintain system integrations within the AI platform.

The role involves designing and deploying generative AI solutions, collaborating with teams, ensuring security and compliance, and guiding architectural decisions for AI initiatives.