Top AI Ethics Jobs in NYC, NY

Lead cross-functional programs to design and automate AI/ML governance for generative and agentic models. Develop program plans, risk mitigation, scalable controls, playbooks, and stakeholder alignment to accelerate model lifecycle delivery while ensuring compliance, quality, and responsible AI practices.

Lead New York Life’s enterprise AI governance function by building agentic governance solutions for security, risk, compliance, legal, and auditing across the AI lifecycle. Manage expert review teams, establish guardrails and control frameworks, oversee third-party AI governance, support regulatory examinations, and represent the organization with senior internal and external stakeholders. The role requires deep AI technology fluency, regulated-industry governance expertise, and executive-level leadership.

Build and operate Adyen’s enterprise AI governance framework, translating global AI and privacy laws into policies, standards, assessments, and practical workflows. Advise on generative and agentic AI, risk classification, model evaluation, fairness, explainability, red teaming, privacy, and human oversight. Partner cross-functionally with Risk, Security, Product, Compliance, Legal, Engineering, and Data Science; deliver training, monitor regulatory developments, and support audits and inquiries.

Develop and advance Mastercard’s global AI policy positions, narratives, and advocacy strategies. Advise internal executives, business units, government affairs teams, regulators, and standards bodies on AI legislation, regulation, standards, governance, and deployment risks. Translate technical AI concepts and business objectives into policy frameworks, briefs, consultations, and executive materials. Monitor global developments, support thought leadership, engage standards organizations, and coordinate cross-functional responses across legal, regulatory, privacy, cybersecurity, and Services teams.

Lead internal AI adoption by treating AI platforms as products, building training and community programs, mentoring AI Champions, and partnering with business units to rapidly prototype and launch AI POCs while maintaining governance and continuous improvement.

Lead execution of Responsible Use of AI (RUAI) approvals and AI risk oversight. Coordinate cross-functional reviews, assess and document AI risks, improve governance tools/workflows, and escalate material issues to leadership. Engage use case owners, vendors, and control partners to ensure compliance with AI regulatory and control frameworks.

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.

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.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Design, configure, and maintain enterprise AI governance platforms and workflows (evidence capture, controls, reporting). Build integrations and automations with enterprise systems, enable metrics and data quality, translate Responsible AI policies into operational controls, coordinate vendors, and deliver training and enablement to drive adoption and audit readiness.