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

Develop and deploy machine learning, generative AI, and agentic AI solutions across the model lifecycle. Responsibilities include feature engineering, model training and validation, statistical experimentation, cloud operationalization, LLM/RAG implementation, agent evaluation, API and dashboard integration, UI prototyping, monitoring, governance, documentation, and CI/CD collaboration. The role partners with data scientists, engineers, product teams, and business stakeholders to deliver secure, scalable, outcome-driven AI capabilities.

Leads process discovery, redesign, and implementation of AI-enabled legal workflows. Translates legal and business requirements into workflow logic, prompts, playbooks, automations, and configured solutions. Builds prototypes, tests and validates workflows, manages implementation and user acceptance testing, supports training and change management, and continuously improves solutions based on performance and feedback. Partners with attorneys, technology teams, vendors, and business stakeholders to establish scalable legal engineering practices.

Designs, develops, and maintains scalable full-stack applications and data flows for investment technology. Builds proofs of concept, reusable components, enterprise integrations, and modern AI capabilities. Applies Generative AI, LLMs, cloud technologies, and software engineering practices to improve automation and business outcomes while collaborating across teams.

Design, develop, and maintain scalable full-stack applications and data flows supporting investment technology. Build enterprise software, APIs, reusable components, prototypes, and generative AI capabilities. Collaborate with product, architecture, engineering, business, and offshore teams; evaluate emerging technologies; improve automation and productivity; and deliver secure, reliable solutions. The role requires strong software development, cloud, data engineering, DevOps, SDLC, communication, and stakeholder collaboration skills.

Designs and develops scalable full-stack applications, enterprise integrations, APIs, and data flows across trading, accounting, and data warehouse platforms. Builds reusable software components, conducts technology proofs of concept, and applies Generative AI and LLM technologies to improve investment business processes. Collaborates with product, architecture, engineering, business, and offshore teams while ensuring reliable, secure, maintainable solutions. Requires extensive software development, cloud, data engineering, CI/CD, and financial technology experience.

Design, build, and deploy cloud-native applications and platforms using AWS and GCP. Develop APIs, reusable services, automation, and agentic AI solutions while supporting generative AI applications. Apply infrastructure as code, containerization, DevSecOps, security, resilience, and performance standards. Collaborate with engineers, architects, data scientists, product teams, and business partners in an Agile environment, contributing to technical standards and architecture evolution.

Lead design and build of New York Life's enterprise AI platform and agentic solutions. Work across cloud-native infrastructure, model and agent lifecycle, RAG knowledge systems, multi-agent orchestration, MLOps/LLMOps, governance, CI/CD, observability, and production operations. Partner with security, legal, and architecture to embed responsible AI and deliver production-ready, compliant AI systems.

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.

Lead New York Life’s enterprise AI governance function by building agentic governance solutions for security, risk, compliance, legal, and auditing across the AI lifecycle. Manage expert review teams, establish guardrails and control frameworks, oversee third-party AI governance, support regulatory examinations, and represent the organization with senior internal and external stakeholders. The role requires deep AI technology fluency, regulated-industry governance expertise, and executive-level leadership.