Top AI Jobs in NYC, NY

The Senior Agentic AI Engineer will build agentic workflows for campaign control, focusing on RAG and safety in an AdTech environment.

The role involves building tooling and evaluation systems for AI development. Responsibilities include creating eval runners, improving workflows, and managing datasets while collaborating with AI teams.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

The Director, AI Product leads the development and delivery of AI capabilities for Pfizer's content creation process, partnering with stakeholders to define and execute a product roadmap, ensuring business alignment and managing product delivery.

The Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and optimize large language models for performance and scalability.

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.

The Senior Manager will drive innovative product solutions in the Commercial Card and AI Decisioning space, lead teams, and impact customer experiences.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

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.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

As a Technical Consultant, you will ensure client success by providing technical expertise for AI implementations, integrating monday.com into enterprise environments, and leading technical discussions with stakeholders.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

Lead the product management team for Google AI products at Capital One, focusing on adoption, experimentation, and scaling of AI solutions. Drive initiatives to enhance usage and business value, mentor product managers, and align technology with enterprise needs.

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.

Lead the experience layer for Associate Assist by defining orchestration logic for AI tools, enabling seamless workflows and driving innovative customer experiences.

The Product Growth Strategist translates AI ambitions into executable programs for engineering organizations, collaborating with cross-functional teams to turn client conversations into sales opportunities and guiding AI deployment strategies.

As a Senior Product Manager, you will own search relevance, data architecture, and data pipelines for native search ads, shaping product strategy and collaborating with various teams to measure impact and drive decisions.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

Lead AI product strategy development, oversee AI-driven tools execution, and collaborate with technical teams for effective real estate investment solutions.

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.

Lead design and deployment of AI-powered identity platforms, architect agentic ecosystems and RAG pipelines, ensure reliability and scalability of data infrastructure, mentor engineers, and integrate AI systems with enterprise data tools like Spark and Dagster.