Top AI Ethics Jobs in Denver & Boulder, CO

The AI Governance Lead will develop actionable policies and governance standards for AI operations, ensuring compliance and operational efficiency. This includes creating standardized templates, maintaining documentation repositories, and collaborating with legal and technical teams to align AI practices with regulatory frameworks.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

The Senior AI Risk Advisor will lead AI risk assessments, develop governance frameworks, evaluate AI vendors, and engage with stakeholders on AI adoption.

The Senior Technical Director for AI UX at Rocket Software will define the AI-driven experience across products, focusing on collaborative and responsible AI integration in enterprise workflows. They will establish architectural frameworks, mentor engineers, and validate AI models with customers.

Review 30-second autonomous-vehicle sensor feeds, evaluate and edit LLM-generated reasoning, ground entities to scene coordinates, correct driving plans and maneuvers, remove hallucinations, and validate outputs against observed trajectory and U.S. traffic laws under time pressure.

The AI Evals Lead will develop and manage eval benchmarks for AI systems, ensuring effective performance measurement and quality assurance through collaboration with engineering teams and industry partners.

As Director of AI Enablement, you will lead Apogee's AI strategy, managing program operations, cross-functional collaboration, governance, and performance measurement to drive organization-wide AI literacy and adoption.

Lead and execute design and operating effectiveness testing of data and AI governance controls, perform walkthroughs and artifact analysis, identify and document control issues, and provide risk-based advisory support to business and technology partners to improve control design and governance processes.

The AI Implementation Associate will drive AI adoption across all functions, integrate AI tools into workflows, and manage change. Responsibilities include creating AI agents, tracking performance metrics, and ensuring ethical AI use.