Top AI Ethics Jobs in NYC, NY

Coordinate and oversee AI initiatives within Risk Management, ensuring governance, regulatory alignment, and model oversight. Partner with business, technology, compliance, legal, audit, and BSA/AML teams to track projects, evaluate AI-enabled models (including AML/transaction monitoring), prepare executive reporting, support audits and examinations, and promote responsible AI adoption, training, and continuous improvement.

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.

Design and run rigorous fairness and bias evaluations for AI-assisted People systems across the employee lifecycle. Build scalable testing infrastructure, conduct subgroup and intersectional analyses, investigate disparity sources, recommend mitigations, and translate results for technical and executive stakeholders. Partner with cross-functional teams to establish documentation, monitoring, and validation standards for high-impact human-AI decision systems.

Lead and improve machine learning systems for safety in personalization, develop backend services, and partner across teams to address safety challenges.

Provide in-person AI coaching and support to employees, deliver micro-trainings and guides, monitor adoption of Copilot/Gemini/Claude, assist with task-level AI integration, collect feedback, and educate staff on responsible AI governance and data privacy.

Build and grow a Formal Methods team to develop practical tooling that verifies and validates agent-generated code. Combine deep formal-methods research (proof assistants, theorem provers, static analysis, refinement types, program logics) with strong software engineering to create tools used across the firm.

As a Technical Product Intern, you'll prototype user safety features, conduct competitive analysis, and translate compliance frameworks into product logic, focused on real-time AI enforcement.

The AI Workforce Enablement Lead promotes AI adoption within an organization by developing training materials, facilitating hands-on learning, and supporting communities of practice. The role involves gathering feedback and tracking metrics to enhance programs while ensuring compliant AI use.

Support AI/GenAI risk assessments, evaluate cloud and IT controls, contribute to model governance and documentation, and translate technical design into risk and control implications. Collaborate with engineering, data science, cybersecurity, and audit teams to produce client deliverables and strengthen AI, data, and cloud compliance programs.

As Co-Founder & CPTO, you'll lead product development and engineering for an explainable AI compliance platform, ensuring high reliability and regulatory readiness while driving customer acquisition and team recruitment.