Top AI Automation Jobs in NYC, NY

Lead the design of agentic AI systems, overseeing a team to deliver AI products, define strategies, and enhance client experiences.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

Build and maintain LLM-powered agents and automation pipelines to generate, review, and publish educational content. Integrate and optimize the learning technology stack (Skilljar, Sanity CMS, LMS), eliminate content-ops bottlenecks, and collaborate with cross-functional teams to implement scalable, production-grade AI-driven learning solutions.

The Sr. CX Programs & Automation Manager will oversee AI initiatives in customer support, driving implementation and measuring outcomes in automation, productivity, and customer satisfaction.

Lead end-to-end product development for an AI agent and platform that automates sales and service. Define roadmap, partner with engineering on prompts, APIs, evaluation frameworks, guardrails, and integrations (e.g., OpenAI/ChatGPT). Drive experiments to improve answer quality, automation rates, latency, cost, and customer satisfaction while establishing AI best practices and platform standards.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define prompt strategies, evaluation frameworks, guardrails, and API/system architecture. Partner with engineering and OpenAI to deploy voice and workflow automation models. Drive experimentation to improve automation rates, answer quality, and customer satisfaction.

Lead development and scaling of an agentic AI platform and customer experiences. Own roadmap, collaborate with engineering on prompts, evaluation, guardrails, and APIs, run experiments to improve automation and quality, and partner with vendors like OpenAI to deploy next-gen models.

The Director of AI & Automation leads technology initiatives in AI solutions, mentoring teams, and translating business needs into technical specs, while ensuring scalable and automated operations.

The Senior Data Scientist will design data pipelines, build models for fraud detection, and automate data analysis using AI approaches, while managing cross-functional projects and mentoring junior team members.

Build and own the bank's intelligent automation layer: design agentic AI pipelines, prompt and evaluation frameworks, LLM-driven document and transcript processing, model ops and monitoring, voice agent conversation design, and partner with SMEs to deliver compliant, production-grade Python automation across Loans, Deposits, and Payments.

The Applied AI Engineer will design, develop, and deploy AI solutions, integrating LLMs into business workflows, and ensuring reliability and maintainability of systems.

Lead and build AI-powered automation across Customer Operations (CX, Claims, Underwriting). Own the automation roadmap, partner with Product and Engineering, design prompt and agent architectures, drive pilots to scaled production, build executive business cases, manage vendor tooling feedback, and grow a team of builders focused on GenAI integration and workflow automation.

Design and build automation frameworks and evaluation pipelines for agentic AI products. Develop non-deterministic tests, golden datasets, tool-use validation, prompt regression tests, latency/token monitoring, hallucination detection, and collaborate with AI engineers to convert requirements into measurable automated test cases.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

As an AI Automation Engineer, you'll architect CI/CD workflows, ensure pipeline reliability, and enhance productivity through AI-driven automation, collaborating across teams.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

Design and build AI-powered automation workflows and integrations for Pragmatico and clients. Lead discovery, architect solutions using LLM APIs and integration platforms (Zapier/Make.com), present solutions to stakeholders, train client teams, and create reusable automation frameworks and thought leadership content.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

The role focuses on AI applied engineering, integrating AI into existing workflows, building automation and tools, and improving team efficiency. It requires strong engineering skills and an understanding of user workflows.

Lead the design and implementation of AI agents and automation across pro-code and no-code platforms. Define repeatable automation patterns, integrate AI platforms with business tools via APIs, build RAG pipelines and vector DB integrations, write Python scripts for complex integrations, and guide technical decisions while working closely with the VP of AI to review agent performance and scale solutions.

The Director of AI Automation leads AI-driven automation systems, translating strategic goals into practical solutions, managing teams, and enhancing operational efficiency.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.