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

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads cloud security engagements across IaaS, PaaS, and SaaS environments. Designs security architecture and controls, conducts risk assessments and vulnerability testing, manages monitoring and incident response, tracks remediation, and develops technical deliverables. The manager coaches team members, oversees project quality and timelines, addresses stakeholder issues, and identifies opportunities to improve cloud security through automation and emerging technologies.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Manages financial records, general ledger accounts, reconciliations, financial analysis, budgeting, forecasting, and reporting. Provides accounting advisory and strategic financial guidance to clients, supports compliance with accounting standards, and develops actionable recommendations. Builds client and stakeholder relationships while addressing complex accounting scenarios, maintaining reporting quality, and using digital tools to improve financial processes.

Manages client-facing finance and accounting workstreams, including financial reporting, budgeting, forecasting, general ledger maintenance, reconciliations, journal entries, and period-end close. Leads and coaches accounting teams, resolves issues, supports compliance, analyzes financial data, improves processes using technology and AI-enabled tools, and presents findings to clients.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Leads AWS cloud infrastructure and operations delivery for client environments. Manages project planning, budgets, timelines, architecture, migrations, network deployments, incident resolution, service management, and operational readiness. Reviews technical deliverables, improves operations through automation and AI-enabled workflows, builds client relationships, communicates risks and status, and mentors junior professionals. The role requires at least five years of cloud infrastructure delivery experience, including two years leading enterprise-scale AWS work.

Leads client-facing AWS cloud infrastructure and operations engagements, including platform design, deployment, networking, security controls, migration planning, and modernization. Advises clients on cloud strategy, landing zones, architecture patterns, and solution economics. Oversees complex workstreams, validates technical outcomes, manages delivery risks, communicates with stakeholders, and coaches teams in cloud engineering and operational practices.

Provides executive administrative support by managing calendars, meetings, confidential information, travel, expenses, correspondence, records, and office logistics. Prepares agendas and meeting materials, tracks deadlines and action items, processes invoices, orders supplies, and responds to executive and internal client requests. The role requires discretion, organization, adaptability, clear communication, and effective use of office productivity tools.