Top AI & Machine Learning Jobs in New York City, NY

Design, prototype, deploy, and iterate AI-driven agentic service workflows that balance automation, human-in-the-loop controls, and compliance. Partner with engineering, CX, Legal, and Data to define orchestration, evaluation, and ROI, strengthen governance and quality, and scale production systems that improve customer outcomes and operational efficiency.

Own Gusto’s agentic coding platform, including autonomous coding workflows, AI code review, orchestration, security posture, sandboxing, permissions, infrastructure contracts, and AI spending controls. Lead and grow a senior engineering team, recruit and calibrate talent, set the product and technical roadmap, manage ambiguity across multiple domains, and advise executive leadership on AI-native software development strategy.

Build and scale Gusto's ML/AI platform: design MLOps solutions, automated pipelines, model development frameworks, deployment, monitoring, CI/CD, and observability; collaborate with ML engineers and apply AI tools and best practices to production ML systems.

Lead and grow a data science and analytics team supporting Growth product initiatives. Partner cross-functionally to shape strategy, design measurement frameworks, run experiments (A/B tests), and build AI/ML-powered product features. Balance hands-on analysis, rigorous evaluation, and executive-facing communication to drive product impact and scale.

Build and own Otto, Gusto's LLM agent platform end-to-end: runtime, tool/action layer, Rails/GraphQL backend, advocate-facing frontend, and eval/observability systems. Expand safe autonomous actions, work with LLMs and retrieval, partner with Product/Data/Design/CX, and mentor engineers to ship reliable agentic features.

Lead and transform the Sales Analytics team by rebuilding a scalable sales data foundation, delivering advanced forecasting and causal analyses, enabling AI-driven self-serve analytics, and partnering with revenue, data engineering, and operations to drive strategic, revenue-focused insights. Recruit, mentor, and raise team analytical rigor while executing remediation of technical debt.