Top AI & Machine Learning Jobs

Build and launch AI-first enablement tools, content, and prototypes that help customer-facing teams learn monday.com products, agents, pricing, and business concepts. Diagnose business needs, rapidly develop solutions, iterate based on user feedback, deliver enablement sessions, and collaborate across Product, Engineering, Client-Facing teams, and the broader CCO organization.

Designs and oversees complex enterprise AI deployments for external customers. Responsibilities include technical discovery, AI and data architecture, integrations, migrations, effort estimation, statements of work, solution documentation, security and governance standards, delivery oversight, customer presentations, and mentoring engineering teams. The role also develops reusable estimation models, discovery tools, and reference architectures while supporting the sale of technical services. This is a hybrid position requiring three days weekly in the New York office.

Research and develop novel deep learning architectures, NLP algorithms, conversational AI agents, and reasoning systems. Build methods for structured goal representation, adaptive agent policies, and decision-tracing tools across large conversation datasets. Collaborate with engineering and product teams to deploy research into scalable production AI systems, while leading technical initiatives and advancing Harmony’s conversational AI vision.

Build AI-native products and features from concept through deployment and monitoring. Develop full-stack applications, make architectural decisions, partner with product and design, and improve reliability, scalability, performance, and engineering standards across new ventures. Integrate LLMs and modern AI technologies while rapidly iterating based on user feedback.

Build the Agentic SDLC using autonomous AI agents to automate and improve software delivery from ideation through production monitoring. Develop scalable full-stack applications, architecture, developer experience workflows, and release-cycle automation. Collaborate across R&D while owning high-impact projects end to end. The role uses Node.js, Golang, TypeScript, React, AWS, Kubernetes, Redis, MySQL, and Elasticsearch, with DevOps and CI/CD experience preferred.

Build, operate, and scale AI and data platform infrastructure including multi-region EKS, streaming pipelines, ML inference, and CI/CD/GitOps. Drive automation (AIOps), ensure security and observability, enable developer self-service, and evolve data systems to support billions of daily events.