Top AI Ethics Jobs in Denver & Boulder, CO

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.

Design, implement, and optimize explainable clinical reasoning AI systems that integrate patient data and medical knowledge. Build RAG/embedding pipelines, backend integrations, scalable Docker/cloud-native deployments, and ensure transparent, evidence-backed model outputs while collaborating with cross-functional teams.

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.

Lead AiLO portfolio integrating AI into K-12 systems: set strategy, design and draft high-stakes deliverables, manage complex projects, mentor teams, cultivate partnerships, and represent ILO externally to scale responsible AI adoption in education.

Lead Moonshot's applied AI safety portfolio focused on online harms (extremism, CSEA, violence, mental-health). Oversee red teaming, adversarial evaluation, methodology, client relationships, team management, business development, and external engagement with governments, regulators, and partners. Ensure methodological rigor, ethical compliance, and delivery quality while growing services, proposals, and thought leadership.

Evaluate AI-generated responses in English and French (France), performing side-by-side comparisons for accuracy, relevance, reasoning, safety, tone, and usefulness. Apply detailed annotation guidelines, document decisions with concise rationale, meet productivity and quality targets, complete onboarding and qualification, and participate in ongoing calibration and feedback.

Lead strategy and roadmaps to operationalize AI models across the product portfolio. Drive cross-functional execution, ensure Responsible AI and regulatory alignment, support product launches, and evangelize AI outcomes to stakeholders and customers.

Lead complex legal AI programs from strategy through adoption: advise senior legal stakeholders, orchestrate multidisciplinary teams, translate delivery signals into program decisions, create lightweight operating cadence, challenge weak assumptions, and build reusable frameworks and governance to scale AI capabilities across clients.

Senior client-facing advisor who defines AI adoption strategy, leads executive workshops, develops AI roadmaps and business cases, and ensures alignment from strategy to implementation. Partners with sales, architects, and delivery teams to drive responsible AI, governance, data readiness, and measurable value realization.

Embed with Corporate Services (Finance, Legal, Compliance, HR) to discover, validate, and document high-impact AI use cases. Conduct structured discovery, assess data and regulatory feasibility, quantify business value, create intake documentation for prototyping, champion responsible AI and data handling, and build stakeholder networks to accelerate AI adoption across enterprise-enabling functions.