Top AI Ethics Jobs in NYC, NY

Researches AI tools, platforms, and vendors; evaluates privacy, security, transparency, contractual, regulatory, and reputational risks; gathers evidence and prepares submission packages for governance review. Maintains tracking records, validates policy alignment, coordinates responses across Legal, Security, Privacy, Procurement, and Technology teams, and improves research and submission processes. The role also monitors emerging AI governance developments and contributes to new policies and guidance.

Researches AI tools, platforms, and vendors; assesses privacy, security, transparency, contractual, regulatory, and reputational risks; gathers evidence; prepares governance submissions; validates policy alignment; maintains program tracking; and improves AI governance processes in collaboration with legal, security, privacy, procurement, technology, and business stakeholders.

Supports client assessments and governance for AI, GenAI, cloud, data, and cybersecurity risks. Responsibilities include evaluating model lifecycle controls, responsible AI practices, IAM, encryption, logging, monitoring, data governance, documentation, testing, lineage, and change management. The role applies software and data engineering knowledge to translate technical designs into risk and control implications, collaborates with engineering and risk teams, gathers requirements, manages assigned tasks, and prepares client-ready reports.

Leads the firm-wide AI governance and risk program, developing policies, standards, controls, evaluation processes, and vendor due diligence. The role manages AI risks across the lifecycle, including privacy, cybersecurity, compliance, ethics, and third-party risk. It monitors global AI regulations, advises partners and senior leadership, coordinates with legal, security, information governance, and technology teams, and drives responsible AI training, awareness, and adoption across the firm.

Lead first-line risk and controls for Enterprise Data & AI, embedding risk management into technology delivery. Identify, assess, monitor, and report operational and technology risks for data, AI, platforms, and delivery pipelines. Partner with risk, compliance, product, engineering, and audit teams to evaluate controls, improve governance, and drive automation and continuous improvement.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Lead external research and advisory partnerships to bring independent expertise into product and policy decisions. Build and manage advisory councils, academic research collaborations, and stakeholder relationships; translate findings into actionable guidance; design engagement processes; manage operational aspects (contracts, budgets, confidentiality); and brief senior leaders while coordinating across product, policy, safety, legal, research, and communications teams.

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 safety research for biological models: design and run safety evaluations, build robust safeguards against misuse, monitor capability advances, partner with internal and external experts, and shape safety policy and communications.

The AI Executive Officer will lead CUNY's AI strategy, ensuring ethical integration across academic and administrative domains while enhancing student success and faculty support.