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

Design and deliver production-grade AI solutions for Workday Payroll using large HR/payroll datasets. Collaborate with product and software teams to build scalable ML models, perform data exploration, feature and prompt engineering, and deploy models (distributed training, hosting) to provide predictive analytics and recommendations for enterprise customers.

Lead design, development, and production deployment of large-scale ML and LLM-powered document intelligence products. Build and scale models and services, mentor ML engineering teams, drive model lifecycle, and apply knowledge graphs, GNNs, RAG, and cloud infrastructure to improve contract intelligence and customer experience.

Serve as a strategic, customer-facing CLM (Evisort) advisor to drive adoption, value realization, and maturity. Design and execute structured success plans, lead onboarding and optimization engagements, use usage data and health metrics to prioritize efforts, prepare executive briefings, and collaborate cross-functionally to scale reusable CLM success motions.

As a Specialized Customer Success Manager for CLM, you will drive customer adoption and value realization through structured plans and strategic engagements, collaborating cross-functionally to ensure success in contract lifecycle management processes.

Design and build full-stack, AI-powered developer platform capabilities. Implement backend JVM/Spring services and frontend React interfaces, integrate LLMs/agentic tooling, own service lifecycle (deployments, incidents, reliability), uphold API governance, write documentation, and collaborate across product and engineering teams.

As a Principal Software Development Engineer, lead the development of advanced planning features by integrating AI capabilities, mentoring junior team members, and driving innovation across the team.

Lead and grow Workday's services partner ecosystem by managing full 360° partner relationships, creating and executing annual partner plans, driving practice growth, go-to-market and demand-generation, identifying solution and AI innovation opportunities, and collaborating cross-functionally to drive subscription revenue and customer success across North America.

The role involves architecting AI solutions, optimizing ML systems, and deploying advanced retrieval frameworks. Engineers will lead ML lifecycle from research to production, collaborating across teams to build AI-first products.

Design, build, and operate secure, policy-governed runtime services for enterprise AI agents. Implement sandboxed execution, sidecar interfaces, enforcement pathways, model mediation, telemetry, and high-concurrency reliability. Collaborate with partner teams, participate in architecture reviews and incident response, and mentor engineers to improve platform quality and observability.

Design and build core developer platform capabilities (APIs, SDKs, integrations) with emphasis on scalability, reliability, and developer experience. Lead architecture, API governance, and platform implementation, collaborate cross-functionally, mentor engineers, and support developer documentation, onboarding, and tooling improvements.