Top AI Jobs in NYC, NY

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.

As an AI Analyst, you will develop and deploy AI solutions, build data pipelines, collaborate cross-functionally, and contribute to transformational AI initiatives.

Lead strategy and delivery of an AI-native internal platform that unifies tools, data, and services. Define roadmap, partner with engineering/AI/data teams, operationalize safety and evaluation, deploy compliance automation, measure platform success, and drive cross-functional alignment to scale AI use cases across the company.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

The Director of AI Strategy will drive the company-wide AI strategy, enhancing workflows and user experience through AI, while overseeing initiatives across functions and building solutions to deliver measurable outcomes.

The AI Model Risk Analyst develops AI solutions for Global Risk Management, focusing on enhancing performance, adopting innovations, and communicating insights effectively across teams.

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.

The Sr. Director, Commercial AI Product Owner will lead AI product initiatives, manage project roadmaps, oversee release management, and foster team collaboration to enhance HCP engagement and drive business outcomes.

Lead the design and implementation of a Gen. AI platform, utilizing cloud services and tools. Mentor engineers, prioritize roadmaps, and advocate for best practices in cloud and AI technology.

The role involves leading AI transformation initiatives in financial services, collaborating with executives, and advising on AI strategies and solutions.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

As a Distinguished Engineer, lead technical visions, optimize solutions, mentor others, and drive innovation across Capital One's engineering teams.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI governance frameworks, conduct risk assessments, mentor team members, and evaluate third-party risks while adapting to AI regulatory changes.

The role involves utilizing advanced analytics to extract insights from data, develop AI/GenAI solutions, and manage cross-functional teams while building relationships with clients.

As a Director in the Customer Experience Transformation team, you will oversee CCaaS projects, manage teams, drive business development, and implement AI solutions to enhance customer interactions.

The role involves leading AI operations, managing incidents, mentoring junior staff, and ensuring operational excellence within managed services delivery while building client relationships.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead modernization and cloud transformation of applications to AWS, establish AI-native engineering strategies, and mentor engineering teams on full-stack development using modern frameworks.

Lead architectural strategy for migrating applications to AWS, assess cloud readiness, enhance team skills in AI-native engineering, and ensure successful implementation of migration projects while mentoring staff and managing performance.

The Director of Digital Assurance & Transparency will lead AI solution teams, manage full-stack AI solutions, ensure quality, and foster innovation while driving business growth.

The Senior Data & AI Engineer will develop and optimize data engineering and AI/ML solutions, collaborating with teams to modernize data systems and support risk management initiatives.

The Security Engineer will design and secure AI development platforms on Google Cloud, collaborating with teams to implement security controls for AI/ML workflows.

The Principal Agentic AI Engineer will build workflows for campaign performance using agentic AI methodologies and oversee their operational performance.