Top AI & Machine Learning Jobs

Design, build, integrate, tune, and launch AI agents on the Moveworks ServiceNow Platform for enterprise customers. The role translates business challenges into scalable AI solutions, integrates enterprise systems, develops full-stack workflows and automations, partners with product and engineering teams, and guides customers on technical adoption and agentic AI roadmaps. It also creates reusable solutions, documentation, architecture artifacts, demos, and customer training.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, retrieval-grounded reasoning, model integration, observability and governance, and production search/RAG pipelines at enterprise scale.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, perform automated actions across workflows, and run safely at scale. Responsibilities include multi-agent orchestration, retrieval-grounding (RAG), model integration, observability, trust and governance, and technical leadership across architecture and delivery.

Own multi-year product strategy and roadmap for the ServiceNow SDK and Fluent APIs (CLI, TypeScript DSL, credentialed client, packaging). Drive SDK evolution to support AI-agent consumption, governance, audited deployments, and developer workflows while aligning cross-functional stakeholders and modeling AI-first development practices.

Lead end-to-end delivery of AI Agents on the Moveworks ServiceNow platform: design, build, integrate, tune, and launch custom LLM-based automation solutions while partnering with customers, product, and engineering to drive adoption and product feedback.

Lead and scale teams building ServiceNow's AI evaluation platform. Define strategy and roadmap for benchmarks, automated scoring, verifier systems, and quality monitoring. Deliver unified internal and customer-facing evaluation services with APIs and dashboards. Drive novel evaluation methods, safety assessment, and cross-functional collaboration to ensure reliable, production-grade AI quality.

Lead enterprise AI transformation engagements as a senior strategic and technical advisor. Advise executives on AI strategy, design end-to-end AI and data architectures (RAG, knowledge graphs, MCP), architect data catalog and metadata strategies, embed AI governance and responsible AI controls, and drive adoption, change management, and practice development across customers.

Serve as the technical face for Platform and AI in sales cycles: build POCs and accelerators, design agentic AI applications (multi-agent orchestration, RAG, prompt/context engineering), create reusable assets, lead discovery workshops and demos, advise on integrations, APIs, data pipelines, and governance, and partner with sales, product, and services to drive opportunities.

Lead enterprise AI strategy and transformation engagements, advise executives, design end-to-end AI and data architectures (including RAG, knowledge graphs, data catalogs), define governance and responsible AI practices, drive adoption and change management, and develop reusable practice IP and thought leadership to enable scalable enterprise AI programs.

Lead enterprise AI transformation and solution architecture engagements from strategy through delivery. Advise executives, design end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), define governance and responsible AI frameworks, drive adoption and change management, and develop reusable practice IP and playbooks to scale AI across the ServiceNow platform.