Top AI Jobs in NYC, NY

The Director of AI Enablement & Ecosystem at BlackRock leads the strategy for AI integration in software development, managing AI ecosystem and partnerships, and ensuring compliance with standards. This role entails overseeing product delivery, measuring productivity, and promoting AI adoption within the engineering teams.

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.

The Director will strategize and govern AI experiences for field personas, develop frameworks, conduct hands-on AI concept experimentation, and ensure alignment across stakeholders.

As a Senior Manager, Data Scientist, you will lead a team to develop generative AI solutions and build machine learning models, enhancing customer experiences and operational efficiency.

The Sr. Distinguished AI Engineer at Capital One will lead the development and deployment of AI systems and collaborate with cross-functional teams to enhance customer experiences through AI solutions. Responsibilities include designing and supporting AI components and optimizing production AI systems.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead and scale AI engineering teams to design, build, deploy, and support foundational AI systems (LLM training/inference, vector search, guardrails, evaluation, observability). Drive technical vision, build-vs-buy decisions across OSS and SaaS, optimize LLM performance, and attract and develop top AI engineering talent.

Lead enterprise AI transformation and monday.com implementations: design AI agents, automated workflows, and relational data structures; manage medium-to-large projects, present to executives, mentor junior consultants, and influence product roadmap to drive adoption and outcomes.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Use advanced analytics, statistical techniques, and machine learning to extract insights from large datasets. Design data solutions and pipelines, build predictive models (R, MATLAB), and apply TensorFlow and Scikit-Learn for deep learning and NLP. Collaborate with teams and clients, deliver quality work, and adhere to firm standards.

The role involves designing and deploying AI systems for vaccine discovery, leading predictive modeling, integrating datasets, and mentoring colleagues on AI applications in vaccinology.

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 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.

The Lead AI Engineer will design, develop, and support AI software components, optimizing AI systems for performance and scalability while collaborating with cross-functional teams.

Build production LLM-powered, agentic loyalty product experiences across frontend, backend, and AI orchestration. Implement tool-calling, structured outputs, guardrails, evals, monitoring, and personalization using loyalty and trip data. Collaborate cross-functionally and own code quality, observability, testing, and operational support for customer-facing features.

Lead execution of Responsible Use of AI (RUAI) approvals and AI risk oversight. Coordinate cross-functional reviews, assess and document AI risks, improve governance tools/workflows, and escalate material issues to leadership. Engage use case owners, vendors, and control partners to ensure compliance with AI regulatory and control frameworks.

Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.

As a Senior AI Engineer, you will design and build AI-driven tools and pipelines to automate business processes, ensuring production reliability and integrating AI technologies into operations.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

As a Senior Applied AI Data Scientist, you will leverage machine learning to transform clinical data into high-quality research datasets and collaborate with stakeholders on model validation and insights generation.

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.