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

Design and deliver scalable, secure Azure cloud and AI solutions including copilots and intelligent agents. Lead architecture, technical delivery, and customer engagements to drive Azure adoption, optimize performance and cost, and deliver measurable business outcomes.

Lead design and development of AI/ML framework and inference software (ONNX, ONNX Runtime, Foundry Local). Provide technical leadership, mentor engineers, define requirements and design docs, drive performance, reliability, and observability improvements, act as DRI and participate in on-call operations, and collaborate across products to deliver scalable AI solutions.

Drive Cloud and AI solution sales by engaging customers, qualifying opportunities, coordinating partners, managing pipeline and forecasting, and aligning Azure-based AI and cloud solutions to customer business objectives to accelerate adoption and expansion.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Lead customer-facing data science engagements: manage data acquisition/cleaning, develop and evaluate scalable models, drive modeling best practices, contribute thought leadership, write extensible code, and define solution and business strategy with cross-functional teams.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead customer-facing data science engagements: manage data acquisition and cleaning, build and evaluate scalable models, drive model best practices and ethics, write extensible code, research industry trends, define solution strategy, and collaborate across engineering and product teams to deliver AI/cloud solutions.

Customer-facing Cloud Solution Architect responsible for designing, delivering, and productionizing AI-powered applications on Azure. Lead architecture, POCs/MVPs, migrations, and operational readiness for AKS, App Services, Azure AI Foundry, GitHub and related cloud-native workloads. Drive consumption growth, customer satisfaction, skilling, and reusable IP while collaborating with engineering, execs, and development teams to remove blockers and ensure secure, resilient, scalable production deployments.

Lead development of SMB customer insights and targeting cohorts, analyze large multi-source datasets, build analytical models, deliver quick-turn actionable reports, advise leadership on GTM strategy, and drive CloudAscent adoption across sales and partner teams.