Top AI Ethics Jobs in Denver & Boulder, CO

Lead AI product strategy and roadmap for Spectrum News. Translate editorial and business needs into product requirements, collaborate across teams, guide development of personalization, recommendations, discovery, and newsroom productivity AI features, ensure responsible AI governance, measure impact with analytics, and communicate vision to stakeholders.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

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 strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Design and operationalize enterprise AI governance capabilities across the AI lifecycle. Translate policies, privacy, security, risk, and compliance requirements into technical controls, guardrails, automated workflows, monitoring, observability, and audit evidence. Develop AI use-case registration, classification, taxonomy, risk assessment, and shadow-AI management capabilities. Partner with Privacy, Legal, Cybersecurity, Supply Chain, and Enterprise Architecture teams to implement responsible, secure, and compliant AI systems.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Lead delivery of AI governance programs for financial services clients: build policies, controls, operating models, and KPIs; perform assessments, audits, and model reviews; operationalize monitoring and incident management; support sales, offering development, thought leadership, and people management across multidisciplinary teams.

Operationalize enterprise AI governance by maintaining AI and agent inventories, processing intake and assessments, validating data, identity, privacy, connector, and security controls, monitoring usage and cost thresholds, producing dashboards and evidence, supporting audits and attestations, and partnering with engineering, security, privacy, data governance, architecture, and business teams.

Evaluate and improve AI-generated outputs for accuracy, clarity, quality, and business alignment. Develop and refine prompts, annotate data, conduct rubric-based assessments, fact-check content, and provide actionable feedback on model performance. Create and edit technical documentation, strategy reports, market analyses, business cases, executive summaries, and professional communications. The role requires strong analytical reasoning, writing, research, quality assurance, and attention to detail.

Develops and maintains AI governance policies, frameworks, and controls aligned with regulatory and industry standards. Conducts AI model risk assessments covering bias, explainability, data quality, and security; evaluates organizational and vendor risks; supports audits; designs controls; and partners with Legal, Privacy, Security, and Technology teams. The role also promotes compliant AI practices and organizational awareness while applying advanced AI/ML knowledge.