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

Build and productionize AI agents, assistants, models, and reusable skills for Armis and its customers. Rapidly develop MVPs, collaborate with engineering to harden systems, and implement rigorous evaluations for quality, safety, and reliability. Design secure agentic workflows with guardrails and isolation, select appropriate frameworks and models, establish reusable AI development practices, consult across the organization, and document solutions for operation and evaluation.

Build and deploy production-grade AI agents, assistants, models, and reusable skills. Develop secure agentic workflows with guardrails, isolation, and controls; integrate frameworks, tools, APIs, cloud services, and models; establish rigorous evaluation metrics for quality, safety, and reliability; rapidly prototype solutions and partner with engineering to harden them for production. Document solutions and contribute to AI Center of Excellence consulting and best practices.

Own the architecture and production delivery of a novel AI-powered exploitability engine. Lead probabilistic ranking, graph modeling, entity resolution, calibration, validation, and security guardrails for agentic systems. Drive zero-to-one technical direction, architecture, code reviews, cross-functional partnerships, and mentorship. Build scalable systems using distributed technologies, cloud-native development, APIs, databases, and machine learning while establishing defensible engineering decisions and evaluation metrics.

Leads hands-on implementation and adoption of ServiceNow’s agentic AI capabilities. Owns AI architecture decisions, delivers demonstrations and proof-of-concepts, advises stakeholders and customers, develops enablement and training programs, and drives measurable business outcomes. Partners with sales, product, strategists, engineers, and customer teams while contributing to thought leadership and evolving AI initiatives.

Own product strategy and execution for Action Fabric, ServiceNow's headless access and monetization layer for agentic AI. Define invocation patterns, pricing and metering models, telemetry, and platform interoperability. Partner with platform, engineering, finance, and go-to-market teams to drive consumption, instrument usage, and position the product in the market. Shape standards, influence partners, and enable customers while tracking adoption and business metrics to iterate quickly.

Own technical delivery of Moveworks AI Agents for enterprise customers: gather requirements, design and build integrations and automations, tune LLM-based solutions, advise on AI roadmaps, synthesize feedback to product, and create reusable templates to scale implementations.