Forward Deployed Engineer

🕒 September 22

🇯🇵 Japan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NICE

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1991

☁️ SaaS

🤖 Artificial Intelligence

📡 Telecommunications

SaaS • Artificial Intelligence • Telecommunications

NICE is a leading provider of AI-powered customer service automation solutions, transforming contact centers into world-class customer experience centers. Their CXone Mpower platform offers end-to-end automation of customer service workflows, integrating human and AI agents to deliver efficient and personalized customer interactions. NICE's offerings include AI for customer experience, digital and self-service solutions, workforce engagement and management, and complete cloud-based contact center platforms. They are recognized as a leader in the Contact Center as a Service (CCaaS) industry, providing tools for increased operational efficiency, employee engagement, and enhanced customer satisfaction.

📋 Description

• Architect and deliver production-ready conversational AI agents • Build live, scalable agentic AI systems for financial services, healthcare, commerce, and other sectors • Own the AI agent lifecycle from pilot through launch and ongoing refinement • Collaborate with enterprise decision-makers to solve high-priority challenges with agentic AI • Feed field patterns and problems into platform, tooling, and product roadmap evolution • Develop agents that outperform human operators in areas such as retention and churn reduction • Build agents for nuanced, integrated customer interactions across CX use cases • Design reusable agent frameworks for different industries • Drive design partnerships for agent architectures, self-service features, and generative development workflows • Integrate emerging voice models into enterprise-grade deployments • Establish standards for constructing, evaluating, and improving AI agents in production

🎯 Requirements

• Hands-on experience building and operating end-to-end production systems at scale • Natural builder's mentality with high personal agency • Startup founder or early engineer experience is highly valued • Proven technical problem-solving ability in rapidly shifting, loosely defined environments • Experience developing or operating AI/LLM-powered systems in production is a major plus • Working knowledge of AI agent evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering • Familiarity with React, TypeScript, and/or Go is an advantage • Comfortable working face-to-face with customers to unpack problems and deliver practical solutions • Prior customer-facing or externally-led technical experience is a plus • Clear, direct communication with engineers and executives • Comfortable operating in ambiguity and making forward progress without complete clarity • Able to balance competing priorities and drive alignment across technical and business teams

🏖️ Benefits

• Build AI agents that run in production at meaningful scale • Work shoulder-to-shoulder with leaders at globally recognized enterprises and high growth startups • Directly influence the direction of NiCE's AI agent platform • Genuine autonomy and end-to-end ownership across the agent lifecycle • Access to the latest AI models, infrastructure, and research

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