Top AI Jobs in NYC, NY

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Principal Scientist, you will lead predictive modeling and applied AI efforts to enhance cancer care. Responsibilities include design, development, and validation of advanced modeling solutions, client engagement, training, and representing the organization at scientific forums.

Lead multiple engineering and applied science teams to define technical vision, ship end-to-end AI/ML products, and ensure operational excellence. Drive model training, data pipelines, evaluation, deployment, and production operations while partnering with Product, hiring and developing talent, and building quality and evaluation practices for AI systems.

Lead design and implementation of enterprise-scale generative and agentic AI architectures. Define foundation model strategies, orchestrate RAG and agentic workflows, build cloud-native MLOps and scalable infrastructure, integrate AI with enterprise systems, mentor teams, and ensure security, compliance, and operational readiness.

Design, develop, and deploy generative AI solutions and autonomous agents using foundation models. Build Python full-stack services, scalable REST APIs, cloud deployments, and apply LLMOps/MLOps and RAG/knowledge-graph techniques. Mentor teams and drive production ML lifecycle and monitoring.

Manage a team of data scientists to develop AI-driven software solutions using large-scale data analysis and machine learning. Oversee model development and collaboration with cross-functional teams.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

Own AI features end-to-end from ideation to production for partner brands. Build evaluation, regression, and monitoring systems; embed with customers; codify playbooks and reliability infrastructure to safely ship GenAI/agentic systems at scale in a regulated environment.

As an AI Strategy Associate Consultant, you will leverage AI and data analytics to solve client business problems, conduct research, develop custom strategies, and enhance AI solutions while managing projects and client relationships.

As an AI Automation Intern, you will automate workflows across Tech Ops and HR, propose AI-driven solutions, learn operations, and contribute innovative ideas. You will work closely with teams to enhance processes and adopt new technologies.

The GTM AI + Innovation Manager will enhance sales through AI solutions, collaborating with teams to improve customer acquisition and streamline processes.

As a Senior Lead AI Solutions Consultant, you will drive revenue through the adoption of BrazeAI tools, managing technical discussions, running proofs-of-concept, and educating clients on AI concepts.

The Director will create and manage an advanced learning agenda for AI and data capabilities, focusing on technical skill development for engineers and data scientists, ensuring alignment with real-world applications and industry needs.

The Director, AI & Advanced Data Learning oversees the learning strategy for advanced AI and data roles, ensuring alignment with Mastercard's technology needs. This role focuses on skill development, designing practical learning experiences, and measuring the impact on technical teams' performance.

Intern will build AI agents using various tooling, collaborate across teams, integrate existing tools, test agent behavior, and document processes.

The AI Conversation Designer will create and maintain AI customer support experiences, focusing on chatbot dialogue, QA processes, and integrations, using analytics and best practices.

As a Senior Lead AI Engineer, you will design, develop, and deploy AI software while partnering with cross-functional teams to enhance customer interactions and business operations at Capital One.

The Head of AI Data Science leads AI research and data science operations, overseeing a behavioral intelligence platform, managing a team, and ensuring application of advanced models in production.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Vice President will lead AI experimentation and prototyping, work with senior leadership on AI-driven solutions, and drive productivity improvements across various business areas.

Lead the AI Developer Platform at BlackRock, optimizing the AI-driven Software Development Life Cycle, integrating AI tools, and enhancing engineering productivity. Drive governance, risk, and responsible AI practices while collaborating closely with business leaders to meet client demands.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

The role involves leading AI product development, working with cross-functional teams to enhance AI systems, and optimizing large-scale production AI systems.