
5001 - 10000 Mitarbeiter
Gegründet 1991
☁️ SaaS
🤖 Künstliche Intelligenz
📡 Telekommunikation
SaaS • Artificial Intelligence • Telecommunications
NICE ist ein führender Anbieter von KI-gestützten Automatisierungslösungen für den Kundenservice und verwandelt Contact Center in erstklassige Customer-Experience-Zentren. Die Plattform CXone Mpower bietet eine durchgängige Automatisierung von Service-Workflows und integriert menschliche und KI-Agenten, um effiziente und personalisierte Kundeninteraktionen zu ermöglichen. Das Portfolio von NICE umfasst AI for Customer Experience, digitale und Self-Service-Lösungen, Workforce Engagement und -Management sowie vollständige cloudbasierte Contact-Center-Plattformen. NICE gilt als führend in der Contact Center as a Service (CCaaS)-Branche und stellt Tools für höhere operative Effizienz, mehr Mitarbeiterengagement und gesteigerte Kundenzufriedenheit bereit.
🕒 vor 2 Monaten
🗣️🇺🇸🇬🇧 Englisch erforderlich
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5001 - 10000 Mitarbeiter
Gegründet 1991
☁️ SaaS
🤖 Künstliche Intelligenz
📡 Telekommunikation
SaaS • Artificial Intelligence • Telecommunications
NICE ist ein führender Anbieter von KI-gestützten Automatisierungslösungen für den Kundenservice und verwandelt Contact Center in erstklassige Customer-Experience-Zentren. Die Plattform CXone Mpower bietet eine durchgängige Automatisierung von Service-Workflows und integriert menschliche und KI-Agenten, um effiziente und personalisierte Kundeninteraktionen zu ermöglichen. Das Portfolio von NICE umfasst AI for Customer Experience, digitale und Self-Service-Lösungen, Workforce Engagement und -Management sowie vollständige cloudbasierte Contact-Center-Plattformen. NICE gilt als führend in der Contact Center as a Service (CCaaS)-Branche und stellt Tools für höhere operative Effizienz, mehr Mitarbeiterengagement und gesteigerte Kundenzufriedenheit bereit.
• You'll architect and deliver production-ready conversational AI agents that sit at the core of the business and directly fuel company growth. • These are live, scalable agentic AI systems, not experiments or proof-of-concepts, operating across sectors like financial services, healthcare, and commerce. • You'll have full ownership of the entire AI agent lifecycle, steering projects from early pilot through launch and ongoing refinement. • You'll collaborate directly with decision-makers at the world’s leading enterprises to tackle their highest-priority challenges with agentic AI. • The patterns and problems you encounter in the field will feed directly into the evolution of the platform, tools, and product roadmap.
• Hands-on experience building and operating end-to-end production systems at scale. • With a natural builder's mentality with high personal agency, you default to finding solutions and shipping them. • Startup founder or early engineer experience is highly valued, you understand the tradeoffs between speed, quality, and ownership. • Proven technical problem-solving ability, particularly in rapidly shifting, loosely defined environments. • Experience developing or operating AI/LLM-powered systems in production is a major plus. • Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering. • Familiarity with React, TypeScript, and/or Go is an advantage. • At ease working face-to-face with customers to unpack their problems and deliver practical solutions. • Prior experience in customer-facing or externally-led technical roles is a plus. • A clear, direct communicator who can be equally persuasive with engineers and executives. • Comfortable operating in ambiguity and making forward progress without waiting for complete clarity. • Able to balance competing priorities and drive alignment across technical and business teams.
• Build AI agents that run in production at meaningful scale, not slideware or research exercises. • Work shoulder-to-shoulder with leaders at globally recognized enterprises and high-growth startups. • Directly influence the direction of NiCE's AI agent platform through the real problems you solve. • Operate with genuine autonomy and end-to-end ownership across the agent lifecycle. • Work at the cutting edge of AI agent development with access to the latest models, infrastructure, and research.
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