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

Leads enterprise AI solution architecture across healthcare, defining scalable patterns for generative AI, agentic AI, machine learning, intelligent automation, and cloud platforms. Establishes governance, responsible AI controls, reference architectures, and technology standards while guiding engineering teams through production deployments. Partners with executives, product leaders, data scientists, security, legal, and compliance teams; evaluates emerging technologies; prototypes AI solutions; and mentors architects and engineers. Requires deep experience with LLMs, RAG, AI agents, vector databases, healthcare systems, distributed architectures, and enterprise technology governance.

Participate in a 10-week Medicare sales internship involving classroom training, networking, sales competitions, job shadowing, presentation development, and exposure to direct-to-consumer health insurance sales. Gain hands-on experience with sales support, phone-based activities, operational processes, and AI-enabled tools for analysis, reporting, automation, and workflow improvement.

Handles inbound customer calls, identifies insurance needs, explains products and benefits, converts prospects into qualified leads and sales, and assists with enrollment applications. Maintains accurate customer records, may conduct follow-up calls, meets sales and customer experience goals, and maintains required insurance licensing and certifications. The role includes onsite training, AI-enabled workflow improvement, and structured early-career development.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.