AI Forward Deployed Engineer
Confirmed live in the last 24 hours
NICE
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?
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. This role requires deep technical expertise across full-stack development, AI agent architectures, APIs, integrations, and conversational automation, combined with the ability to collaborate directly with customers and business leaders.
How will you make an impact?
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AI Agent Design & Development
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Design and build AI-driven virtual agents that automate customer service workflows across digital and voice channels.
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Develop intelligent automation using the NiCE AI and Digital portfolio, including conversational AI, knowledge systems, and omnichannel engagement capabilities.
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Architect agent behaviors including intent handling, workflow orchestration, and multi-system interactions.
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Continuously refine and evolve agents through iterative testing, model tuning, and performance optimization.
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AI Agent Lifecycle Ownership
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Own the full lifecycle of AI agents from initial design through deployment and ongoing optimization.
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Define agent architecture including prompting strategies, knowledge retrieval patterns, and decision logic.
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Implement observability, evaluation, and feedback loops to improve agent accuracy, reliability, and business outcomes.
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Monitor agent performance and evolve agents to handle increasingly complex customer interactions.
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System Integration & Automation
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Build integrations between AI agents and enterprise systems including CRM, commerce platforms, knowledge bases, and operational systems.
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Develop APIs, services, and orchestration layers enabling agents to perform real business transactions.<
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