Top AI & Machine Learning Jobs in CO

Structures and optimizes knowledge base content for generative AI retrieval and agent desktop systems. Analyzes more than 100,000 weekly GPT prompts to diagnose inaccurate responses, performs root-cause analysis, and implements content fixes. Translates frontline feedback into structured updates, develops AI content standards, creates HTML/CSS support materials, and collaborates with subject matter experts, business partners, and developers to improve knowledge accuracy and operational efficiency.

Design and deploy production-grade ML models and GenAI/LLM solutions to improve customer segmentation, churn prediction, LTV estimation, and automate enterprise workflows. Build cloud-native data science pipelines, measure impact via experiments, create executive dashboards, and mentor peers on MLOps and data storytelling.

Leads AI engineering teams building and scaling production-grade agentic AI applications, multi-agent systems, LLM orchestration, and intelligent workflows. Oversees Databricks on AWS platform operations, architecture, security, and optimization. Establishes engineering standards for Python development, testing, CI/CD, and DevOps/DataOps, while partnering with Product teams on execution. Manages engineering leaders and staff, drives hiring and mentorship, and shapes the organization’s AI technical direction.

Build and scale AI infrastructure through Python automation, AWS serverless architectures, EKS containerized workloads, Terraform infrastructure as code, and monitoring. Develop orchestration pipelines for model training and inference, manage large datasets and production availability, reduce recovery times, collaborate with QA and Product, and mentor engineers while maintaining code quality and operational performance.

Lead design and delivery of AI-powered order orchestration platforms. Define architecture, drive roadmap, implement scalable microservices and real-time streaming pipelines, productionize AI models, enforce CI/CD and engineering best practices, resolve performance bottlenecks, and mentor engineering teams.

Embed AI solutions across legal and corporate affairs to remove workflow bottlenecks, build rapid prototypes for contract analysis and regulatory tracking, enforce data governance, and deliver executive reporting and KPIs to drive legal operations efficiency and risk mitigation.

Develops and operationalizes AI and data governance policies, standards, procedures, checklists, decision trees, and reporting templates. Translates frameworks including NIST AI RMF, the EU AI Act, and Colorado ADMTA into practical workflows. Partners with engineering, data science, product, governance, risk, and business teams to test standards, define metadata and logging requirements, and enable cross-functional execution through version-controlled policy frameworks.

Lead automation and measurement of the AI Governance program by building self-service dashboards, tracking Time-to-Approval and throughput metrics, analyzing trends to remove bottlenecks, producing C-suite evidence packs, and recommending process improvements to increase governance maturity and delivery velocity.

Partner with business leaders to define AI strategy, set KPIs, and deliver executive reporting; prototype AI solutions (e.g., Google AI Studio); remove operational obstacles across ServiceNow, Jira, and automated workflows; enforce data governance and privacy to enable enterprise AI adoption and measurable ROI.

Lead scaling of AI initiatives across Direct Sales by translating call and performance data into prioritized AI roadmaps, driving deployment, managing cross-functional stakeholders, mitigating risks, and reporting ROI-focused insights to senior leadership.