Top AI Jobs in NYC, NY

Lead product strategy and roadmap for AI and data products for SMEs; manage cross-functional global teams; ensure security/compliance; drive go-to-market, pricing, customer engagement, and on-time, on-budget delivery.

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

Lead AI-driven FinOps and engineering efficiency initiatives across Snowflake, Aerospike, and Databricks. Drive cost optimization, governance, forecasting, and AI adoption; build dashboards, metrics, and cross-functional programs to reduce infrastructure spend and improve engineering productivity and platform economics.

Own evaluation, measurement, and optimization of production LLM-powered features. Design reproducible evaluation frameworks, run experiments and analyses to identify failure modes and regressions, build metrics and dashboards, partner with engineering to productionize improvements, and mentor teammates on experimental design and measurement best practices.

Design and run evaluations for LLM-powered features: build datasets and rubrics, analyze production logs for failures, run experiments, track product/operational metrics, and partner with engineers to productionize improvements and monitoring dashboards.

Build and ship LLM-powered features across patient and clinical workflows. Partner with clinical operators, prototype AI workflows (prompts, agents, RAG), write Python/SQL to connect AI systems, define success metrics, run evaluations, and iterate based on user feedback.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Embed with clinical and operations teams to identify high-value AI opportunities; build LLM-powered features end-to-end including prompts, orchestration, Python services, evaluation suites, golden datasets, and metrics-driven experiments to measure product impact and prioritize work.

Build and ship LLM-powered production features end-to-end: prompt orchestration, tool calling, retrieval/RAG, embeddings, evaluation infrastructure, observability, safety guardrails, and integrations. Collaborate with clinical teams, prototype quickly, measure outcomes, and raise engineering standards through mentorship and technical leadership.

Build and ship production LLM-powered features across patient-facing products, clinical workflows, and internal tools. Implement AI application layers (prompt orchestration, tool calling, RAG, agent workflows), connect LLMs to internal APIs and systems, and develop evaluation suites and observability for model quality. Prototype rapidly, collaborate with clinical teams, and contribute to AI infrastructure and engineering best practices.

The Forward Deployed AI Engineer develops AI solutions using LLMs, collaborates with customers on their AI strategy, and executes high-stakes projects to solve real-world problems.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

Own and build Gusto's AI assistant (Gus) and platform experiences end-to-end. Architect and implement scalable AI-native web experiences, create self-serve patterns for teams, collaborate with ML/product on prompts and escalation flows, run experiments, mentor engineers, and help scale a large Ruby on Rails and React application serving millions of users.

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 a team in developing AI and ML models focusing on detection and text intelligence. Collaborate with product managers and support team development for impactful AI features.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead product manager to define strategy and deliver agentic AI, LLM-driven workflows, and autonomous operational agents. Translate customer problems into technical requirements (LLMs, RAG, agent orchestration), prototype with agent frameworks, own roadmap/PRDs, partner with AI/ML and engineering on grounding, safety, evaluation, and MLOps, and drive adoption through go-to-market, onboarding, and measurement.

Lead product strategy and execution for agentic AI and LLM-driven operational intelligence. Define use cases, prototype with agent frameworks, partner with AI/ML and engineering on architecture, safety, evaluation, and MLOps, drive 0->1 SaaS feature development, run discovery and A/B tests, and enable customer adoption and go-to-market.

Lead development of next-generation entity resolution ML solutions using transformers, graph ML, and large-scale data pipelines. Partner with cross-functional teams to design, train, validate, and deploy models on cloud platforms, leverage agentic AI workflows, and translate technical work into business outcomes.

Design, build, and deploy production-grade AI and Generative AI solutions. Collaborate with data scientists and platform engineers to implement scalable, observable models, manage ML experiments, automate deployments, and review code. Prototype new AI capabilities and apply LLM/GenAI patterns (RAG, agentic workflows) for enterprise integration.

The Director of AI Platform will lead technical vision for Aladdin's AI platform, overseeing AI initiatives, engineering standards, and team development, ensuring responsible deployment of AI solutions.