Forward Deployed Engineer
AI summary of the role
This role is for a Forward Deployed Engineer at NICE, responsible for architecting and delivering production-ready conversational AI agents for large-scale enterprises across financial services, healthcare, and commerce.
What you’ll do
- Develop agentic systems for large-scale companies that measurably outperform human operators in areas like retention and churn reduction.
- Build agents that handle nuanced, integrated customer interactions across a range of CX transforming use cases.
- Design reusable agent frameworks adapted to the specific demands of different industries.
- Drive design partnerships around new product directions, including agent architectures, self-service features, and generative development workflows.
What you’ll bring
- Hands-on experience building and operating end-to-end production systems at scale.
- Proven technical problem-solving ability in rapidly shifting, loosely defined environments.
- Experience developing or operating AI/LLM-powered systems in production.
- Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering.
Technologies
AI agents · LLM · RAG pipelines · prompt engineering · evaluation frameworks · orchestration tooling · React · TypeScript · Go · voice models
About NICE
NICE builds CXone Mpower, a cloud platform for AI-powered customer-experience, contact-center operations, workforce optimization, and digital/financial-crime analytics for global enterprises.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? 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
More from the job description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? 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. How will you make an impact? Develop agentic systems (agents) for large-scale companies that measurably outperform human operators in areas like retention and churn reduction. Build agents that handle nuanced, integrated customer interactions, across a range of CX transforming use cases. Design reusable agent frameworks adapted to the specific dema [... source excerpt omitted ...] es with emerging voice models and pioneer their integration into enterprise-grade deployments. Set the standard for how AI agents are constructed, evaluated, and improved in live production settings. Have you got what it takes? 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 [... source excerpt omitted ...] uation 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. What's in it for you? Build AI agents that run in production at mean
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