Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design and deploy scalable GenAI and NLP solutions on AWS, architect agentic AI systems, fine-tune and evaluate LLMs (LLama2), implement model orchestration and context management, integrate vector stores and APIs, and collaborate with cross-functional teams to deliver production-grade ML services.

The Strategic Account Manager will drive growth in healthcare accounts, build executive relationships, and manage sales cycles while offering AI, cloud, and data solutions.

Lead the design and implementation of a unified observability platform, focusing on architecting observability pipelines and implementing tools like Prometheus and Grafana on AWS.

Design, research, and deliver LLM and GenAI solutions for healthcare SaaS at scale: architect systems, handle healthcare data, implement PEFT and RAG pipelines, ensure responsible AI, mentor teams, and translate technical outcomes to business impact.

Lead the design and development of scalable Ruby on Rails applications, managing AWS services and Docker-based microservices, while optimizing performance and mentoring junior engineers.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

Seeking a Senior Machine Learning Engineer with expertise in Generative AI and MLOps to design and maintain AI solutions for telecom, focusing on performance and scalability.

The AI Solutions Lead will expand Quantiphi's business in key insurance accounts by managing executive relationships, developing account strategies, leading sales initiatives, and ensuring client satisfaction.

The Sales Leader for Life Insurance is responsible for acquiring new customers, developing executive relationships, and driving sales of technology services to Life Insurance companies, focusing on AI and cloud solutions.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.