Top AI Automation Jobs in Denver & Boulder, CO

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

Lead the design and implementation of AI agents and automation across pro-code and no-code platforms. Define repeatable automation patterns, integrate AI platforms with business tools via APIs, build RAG pipelines and vector DB integrations, write Python scripts for complex integrations, and guide technical decisions while working closely with the VP of AI to review agent performance and scale solutions.

The Director of AI Automation leads AI-driven automation systems, translating strategic goals into practical solutions, managing teams, and enhancing operational efficiency.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

Design, build, and deploy AI-powered workflows, internal tools, assistants, and platform capabilities to automate operational processes. Integrate LLM APIs, RAG/vector retrieval, and backend systems, collaborate with product and operations, and deliver production-ready solutions that reduce manual work and scale GreenLight's operations.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.

Lead enterprise AI product strategy, governance, and adoption for internal platforms and employee tooling. Prioritize high-value AI and automation use cases, run pilots, evaluate vendors, define FRDs/TRDs, manage delivery (QA/UAT, deployments, hypercare), and drive change management and metrics reporting to deliver measurable business value in a regulated fintech environment.

Design and build AI- and automation-driven solutions to accelerate Mortgage Cadence Platform configuration using LLMs and workflow automation. Develop integrations with system APIs, partner with implementation teams, create documentation and training, and propose new tools to improve implementation accuracy and scale.

As a Staff AI Engineer, you will design and implement AI-powered automation for internal departments, manage the full project lifecycle, and enhance various processes across CargoSprint, focusing on business impact and collaboration.

Develop and manage intelligent automation solutions using UiPath, bridging communication between project managers and clients, conducting process analysis, and providing documentation.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

As an AI Automation Engineer, you'll build custom AI agents, implement integrations, ensure data governance, and contribute to overall AI solutions, collaborating with cross-functional teams.

Develop AI capabilities using Microsoft tools, integrate AI solutions within enterprise systems, ensure compliance and security, and collaborate with team members for continuous improvement.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.