Top Natural Language Processing (NLP) Jobs in NYC, NY

Lead the Brex Assistant product end-to-end: set strategy and roadmap, define agent capabilities, design prompts and evals, prototype and iterate on LLM/agent behavior, analyze failures and usage, and partner with engineering, design, and research to deliver a trustworthy, action-taking conversational AI in a financial context.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

Lead development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define roadmap, prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction while partnering with engineering and OpenAI.

Lead strategy and roadmap for Canary's AI Voice conversational platform, prioritize improvements based on accuracy and performance, engage enterprise hotel clients, define KPIs (resolution, accuracy, latency, containment), and align engineering, AI/ML, infrastructure, sales, and customer success for scalable, high-availability deployments.

Design, test, and deploy AI/agentic solutions that extract structured data from healthcare documents and web workflows. Collaborate with operations and engineering to translate workflows into technical specs, create reproducible playbooks, evaluate model accuracy, and define metrics to drive automation rollout.

Lead technical discovery and solution design for enterprise AI initiatives. Build and deliver POCs for NLP, RAG, conversational AI, and integrations; own technical validation, RFP/RFI responses, and executive presentations. Develop light production code and integrations (Python plus Java/TypeScript), and manage Kubernetes/IaC/VPC deployments across AWS/Azure and on-prem environments. Frequent customer travel (20-40%).

Lead product work to build agentic membership experiences within LLM channels: define user flows and requirements, partner with engineering and design, prepare Amex assets for LLM use, define success metrics, build dashboards, analyze customer needs, and coordinate cross-functional launch readiness including Legal, Compliance, Risk, and Privacy.

Design and maintain large-scale data pipelines to generate synthetic text, manage distributed multi-GPU LLM training infrastructure, profile and optimize training and inference code, and deploy efficient inference pipelines for serving LLMs in production. Collaborate across research and engineering and contribute to publishing research and innovations.

Manage and scale a high-signal community of advanced ChatGPT Pro users by designing programs, onboarding and supporting expert users, running technical office hours and demos, surfacing product feedback, documenting workflows and use cases, producing editorial case studies, and partnering with product, research, and developer experience teams.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.