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

Design, build, and deploy production-grade AI and Generative AI solutions. Collaborate with data scientists and platform engineers to implement scalable, observable models, manage ML experiments, automate deployments, and review code. Prototype new AI capabilities and apply LLM/GenAI patterns (RAG, agentic workflows) for enterprise integration.

The Director of AI/Agentic Experience Strategy leads AI-driven customer lifecycle strategies, facilitates AI experience design, and collaborates across teams to enhance consumer interactions in financial services.

The Director of AI Search leads New York Life's AI Search strategy, overseeing AI acquisition strategies and driving AI innovation in marketing experiences. The role requires collaboration across functions to optimize content for AI discoverability and define future-state AI experiences while maintaining compliance and stakeholder alignment.

The Director will strategize and govern AI experiences for field personas, develop frameworks, conduct hands-on AI concept experimentation, and ensure alignment across stakeholders.

The role involves developing AI and ML solutions, collaborating with teams to enhance client experiences, and ensuring proper model lifecycle management.

The VP of Data & AI will define and implement Data & AI strategy, lead initiatives for business transformation, ensure governance, financial accountability, and foster a culture of innovation across the organization.

Own end-to-end decision intelligence product domains: build, deploy, and monitor ML models and behavioral signals; lead experimentation and causal measurement; develop generative AI solutions and personalization; partner with product and engineering to define roadmaps and reusable ML platform assets that drive measurable business outcomes.

Lead strategy and execution for enterprise intelligence by framing complex AI, data, and technology questions; partner with senior leaders to design and deploy intelligence products; create executive- and Board-level communications; run cross-functional initiatives and governance; and support enterprise planning, portfolio management, and adoption of AI-enabled capabilities.

The role involves designing, building, and maintaining an MLOps platform, developing workflows for ML applications, and integrating various technologies while supporting agile teams.

The Director of AI & Data Science will lead AI/ML initiatives, manage the Model Development Life Cycle, and mentor technical teams, while overseeing core AI technical solutions and standards.