Forward Deployed Engineer

🕒 May 1

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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

• A NiCE AI Forward Deployed Engineer is a highly technical full-stack engineer responsible for designing, building, and deploying AI-driven customer engagement solutions using the NiCE digital and AI portfolio. • This role sits at the intersection of software engineering, AI agent development, and customer solution architecture. • The engineer works directly with customers and internal stakeholders to translate complex business challenges into intelligent automation solutions across voice and digital channels. • The AI Forward Deployed Engineer will design, prototype, and operationalize AI agents that integrate with enterprise systems and deliver scalable customer self-service experiences powered by intelligent virtual agents, knowledge management, and omnichannel engagement capabilities. • 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.

🎯 Requirements

• 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.

🏖️ 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.