Top AI Jobs in NYC, NY

Lead large-scale SDLC and engineering transformation engagements for financial services clients. Advise C-suite on delivery excellence, drive business development, mentor consulting teams, and shape practice offerings combining Agile, DevSecOps, cloud, and AI-enabled engineering capabilities.

Lead and conduct high-impact AI research across multi-agent systems, foundation models, continual learning, multimodal AI, synthetic data, and formal methods; translate research into production, collaborate with engineers and stakeholders, publish findings, and drive reusable assets and business solutions.

Lead strategy and roadmap for AI Access products that let publishers control agent access, deliver specs and launches, partner with engineering, design, research, GTM, and BD, and represent the product externally to publishers, AI labs, and developers.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

Lead ML Engineer for Finance Tech to design, build, deploy, and maintain AI/ML systems (including LLMs and RAG). Partner cross-functionally to create production data pipelines, model evaluation, governance, observability, and responsible AI practices while contributing technical vision and scaling AI infrastructure.

Drive intake, prioritization, and refinement of early-stage GenAI use cases for Card products. Break down epics into features and user stories, define acceptance criteria and MVPs, prioritize roadmaps using data, and collaborate with designers, engineers, data scientists, and stakeholders to deliver customer-focused AI-driven product experiences in an agile environment.

Lead end-to-end improvements to recommendation systems and personalization. Partner with data science and engineering to set ranking inputs, run experiments, and measure impact while ensuring fairness, safety, and clear stakeholder communication.

Lead strategic deployment of Hebbia's AI platform across global financial institutions by applying LLMs to complex legal and banking workflows, advising customers, driving value-backed land-and-expand growth, informing product and commercial strategy, and optimizing post-sales processes to scale adoption and ROI.

Lead onboarding and roadmap for integrating conversational AI into an enterprise QA platform. Design automated AI QA, evaluation pipelines, and closed-loop feedback systems to scale consistent, accurate assessments across complex customer intents.

Lead design, build, deploy, and support foundational AI systems and products (LLM training/inference, similarity search, guardrails, evaluation, observability). Optimize large-scale AI performance and collaborate with cross-functional teams to produce responsible, scalable AI solutions.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Lead and build Pfizer's AI-first design system across human and agent surfaces. Ship design standards-as-code, own conversational and agentic UX, drive adoption metrics, produce high-fidelity prototypes, advise executives, partner with AI/Product/Engineering, and grow a high-performing design team focused on safety, compliance, accessibility, and measurable experience outcomes.

Lead AI-first UX design for agentic and conversational experiences: own design system patterns shipped as code, prototype agents with LLM APIs, ensure accessibility (WCAG 2.1 AA), monitor pattern adoption, mentor peers, and deliver rapid end-to-end product designs that balance autonomy, safety, and human‑in‑the‑loop controls.

Lead product management for Capital One's Enterprise AI/ML platform, building capabilities for data scientists, ML engineers, and developers. Drive platform strategy, deliver resilient and governed AI solutions, collaborate with engineering, risk, security, and business teams, and translate user needs into scalable, operational products.

Lead product strategy and execution for enterprise AI/ML and Generative/Agentic AI platforms. Drive capabilities for model training, serving, and developer/data scientist UX, partner across platforms, and deliver business value and adoption at scale.

The Distinguished Architect will provide technical leadership in AI, guide infrastructure discussions, and collaborate with stakeholders on AI observability solutions, requiring extensive experience and strategic thinking.

Lead Headway's AI platform vision and roadmap, own the internal assistant Eddy, write evals and prompts, configure agents and integrations, and partner with CX, Ops, Sales, Finance, and Clinical teams to identify high-value AI workflows and drive adoption across the company.

Design, evaluate, and productionize LLM-based AI products for oncology data. Create custom evaluations, analyze model outputs, collaborate with clinicians and engineers, and support product improvement, monitoring, and stakeholder communication.

Lead product marketing for CoreWeaves Agentic AI platform: define positioning, messaging, GTM programs, sales enablement, partner GTM, customer evidence, thought leadership, and market intelligence to drive adoption of agentic AI infrastructure.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.