Top AI & Machine Learning Jobs in New York City, NY

Lead and evolve the enterprise AI risk and governance framework. Identify and assess emerging AI risks, translate them into governance and controls, run AI approval processes, provide second-line challenge to stakeholders, partner across functions to embed controls, and strengthen monitoring, transparency, and scalable governance for AI initiatives.

Lead enterprise-scale adoption of AI tools by embedding with teams, identifying workflow opportunities, co-developing prompts, agents, and AI applications, and scaling successful solutions. Partner with Technology, Data, Risk, and strategy teams to ensure secure and compliant deployment. Track adoption, efficiency, and growth metrics; communicate outcomes to executives; and champion AI fluency and experimentation across the organization.

Leads enterprise AI-first technology delivery transformation at MetLife. Defines operating models, roadmaps, governance, controls, adoption strategies, delivery metrics, and readiness practices for agentic software development. Partners with CIO organizations, DevSecOps, Platform Engineering, Architecture, Risk, Audit, and Legal to implement traceable, reviewable AI-assisted workflows in a regulated environment. Advises senior leaders, resolves cross-organizational ambiguity, and drives initiatives through measurable adoption and business value realization.

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.