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

Lead Braze’s Applied AI Architects across GTM and corporate functions. Build and develop a senior technical team, manage the engagement portfolio, prioritize and measure AI initiatives, maintain hands-on involvement in agent design and delivery, and partner with product, technology, and executive leaders to scale successful solutions. Define the operating model and career framework for this emerging role category while driving measurable business outcomes such as sales ramp time, quota capacity, and competitive win rate.

Own and evolve Braze’s ML platform for training, deploying, serving, and monitoring models at global scale. Lead complex infrastructure initiatives, multi-region model serving, CI/CD, orchestration, reliability, cost optimization, and incident response. Set technical direction, improve production quality, collaborate across teams, mentor senior engineers and data scientists, and connect platform decisions to business outcomes.

Lead the technical vision and delivery of production machine learning systems, including distributed model training, serving, lifecycle management, and customer-specific model pipelines. Drive cross-team initiatives, establish engineering standards, review designs and code, mentor senior engineers and data scientists, and connect technical decisions to customer and business outcomes. Build scalable, reliable ML platforms and high-throughput prediction services supporting personalized customer engagement.

Embed with business functions to discover high‑value workflows, build and ship AI agents and automations on shared infrastructure, coach teams to self-sufficiency, productize reusable patterns, and rotate to scale AI-driven process transformation across the company.

Own an area of the revenue lifecycle to design, build, and operate AI agents and automations for GTM teams. Conduct stakeholder research, embed in field workflows, ship and iterate on agent outputs, monitor adoption and quality, scale patterns, and partner cross-functionally to drive measurable revenue impact.