Top AI & Machine Learning Jobs in CO

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.

Partner with HR leaders to define AI strategies, build KPIs, and deliver ROI. Design and deploy generative AI prototypes (e.g., Google AI Studio), integrate across ServiceNow, Jira, and HRIS, enforce data governance and compliance, automate executive reporting and workforce analytics, and translate technical solutions for non-technical HR stakeholders to accelerate AI adoption.

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.

Design and deliver scalable Databricks/Spark/Delta Lake data pipelines, implement GitLab CI/CD and IaC/container workflows, apply SOLID engineering and testing frameworks, mentor peers, integrate AI-driven monitoring, and collaborate with Data Science and Product to productionize ML solutions on AWS while ensuring security and reliability.

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.

Engineer serverless AWS utilities and integrate Generative/Agentic AI into QA automation. Build APIs, prototypes, and CI/CD-backed tooling to accelerate test coverage, improve fault detection, and collaborate with global engineering teams to deploy reliable automation solutions.

Scale and secure the enterprise Databricks platform on AWS for production analytics, ML, and AI agent workloads. Administer workspaces, Unity Catalog governance, CI/CD pipelines, Terraform automation, MCP server integration for agent frameworks, cluster policy enforcement, cost attribution, monitoring, incident response, and mentor junior engineers.

Embed into engineering intake to standardize cloud cost estimation, translate technical requirements into predictive cost models, track ROI for AI initiatives, and recommend cost-avoidance strategies while building reporting and value-capture frameworks across project lifecycles.

Drive deployment of AI solutions for field services: prepare data governance, integrate knowledge-base chatbots, enable wearable AI and AR onboarding, build agentic "AI manager" workflows, and optimize prompts and automation to improve technician productivity and service quality.

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.