Forward Deployed Engineer

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

Where this job comes from

Posted on NICE's careers page ↗NICE's careers page, not through a job board

First seen by Remote Rocketship 6 minutes ago

Apply Now
Logo of NICE

NICE

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 that fuel company growth • Build live, scalable agentic AI systems across financial services, healthcare, and commerce • Own the full AI agent lifecycle from early pilot through launch and ongoing refinement • Collaborate directly with decision-makers at leading enterprises to solve high-priority challenges with agentic AI • Feed field patterns and problems into the evolution of the platform, tools, and product roadmap • Develop agentic systems for large-scale companies that measurably outperform human operators • Build agents for nuanced, integrated customer interactions across CX use cases • Design reusable agent frameworks for different industries • Drive design partnerships around agent architectures, self-service features, and generative development workflows • Integrate emerging voice models into enterprise-grade deployments • Define how AI agents are constructed, evaluated, and improved in live production settings

🎯 Requirements

• Hands-on experience building and operating end-to-end production systems at scale • Natural builder's mentality with high personal agency; default to finding solutions and shipping them • Startup founder or early engineer experience is highly valued • 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 • Clear, direct communicator able to persuade 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, 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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