Top AI Ethics Jobs in NYC, NY

Lead policy governance and operationalization for Trust & Safety, transitioning to LLM-first enforcement. Partner with cross-functional teams to design Responsible AI frameworks, monitor moderation performance, manage policy lifecycles, ensure regulatory compliance, and use AI-enabled analytics to improve enforcement and member safety.

Conduct technical and sociotechnical research at the intersection of AI and democratic institutions. Design and run AI safety evaluations focused on legal alignment, perform fine-tuning and model improvement, analyze institutional vulnerabilities and develop mitigations, and build AI applications to support civic participation. Collaborate with researchers, policy and law experts, and cross-functional teams to translate findings into product and policy recommendations.

Own the Finance vertical for Agents Data & RL Environments: set product and data strategy, design and scale finance-specific RL simulations and datasets, partner with frontier research teams, and drive cross-functional execution and go-to-market efforts to train and evaluate AI agents on real financial workflows.

Lead AI Risk Advisor leads AI governance and risk initiatives, conducting cross-functional risk reviews, designing KRIs and monitoring (drift, bias, HITL), partnering with Technology/Cybersecurity/Data Governance/Model Risk, authoring executive summaries, mentoring junior staff, and driving control automation and regulatory/audit readiness.

Lead firmwide AI enablement by setting strategy and roadmap, designing multi-level training, running an AI champion community, producing adoption analytics, shaping governance, evaluating tools and vendors, and managing stakeholders and a small team to drive responsible AI adoption and measurable business impact.

The Director of CX AI will develop and execute the AI roadmap for customer experience, evaluate tools, modernize workflows, and ensure responsible AI use.

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

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

Lead design and oversight of the enterprise AI Risk Management program in the second line of defense: develop AI governance, policies, risk taxonomy, assessments, monitoring, reporting, independent reviews, QA, regulatory exam support, and advise first-line teams to enable safe, compliant AI adoption.

The AI Governance Lead will develop and oversee Ascot's AI governance framework, ensuring compliance and ethical use of AI across various business areas, while coordinating with legal and risk departments.