Key Pursuits Forward Deployed Engineer

Ai Agent Engineer

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations.

Responsibilities

• Design and build AI-driven virtual agents that automate customer service workflows across digital and voice channels.
• Develop intelligent automation using the NiCE AI and Digital portfolio, including conversational AI, knowledge systems, and omnichannel engagement capabilities.
• Architect agent behaviors including intent handling, workflow orchestration, and multi-system interactions.
• Continuously refine and evolve agents through iterative testing, model tuning, and performance optimization.
• Own the full lifecycle of AI agents from initial design through deployment and ongoing optimization.
• Define agent architecture including prompting strategies, knowledge retrieval patterns, and decision logic.
• Implement observability, evaluation, and feedback loops to improve agent accuracy, reliability, and business outcomes.
• Maintain and enhance demo environments and development environments used for solution innovation.
• Partner directly with customers to understand operational challenges and identify opportunities for AI-driven automation.
• Translate business requirements into technical architectures and working solutions.
• Build prototypes, proof-of-value implementations, and production-ready agent capabilities.
• Act as a trusted technical advisor to both business and technology stakeholders.
• Collaborate with product, engineering, and sales teams to identify product gaps and innovation opportunities.
• Prototype new capabilities that extend the NiCE AI platform.
• Provide direct field insights that inform product roadmap and future platform capabilities.
• Contribute reusable patterns, integrations, and architectures that improve future deployments.
• Design and build advanced technical demonstrations showcasing AI-driven customer experiences.
• Develop reusable demo frameworks and environments that illustrate enterprise use cases.
• Support sales engineering and presales teams in communicating the value of AI-driven customer engagement solutions.
• Enable internal teams with technical knowledge of AI agents, integrations, and platform capabilities.

Requirements

• Deep technical expertise across full-stack development, AI agent architectures, APIs, integrations, and conversational automation.
• Ability to collaborate directly with customers and business leaders.
• Experience with large language models, prompt engineering, agent orchestration frameworks, retrieval-augmented knowledge systems, and conversational AI architecture.
• Experience with backend services and APIs, web and conversational interfaces, integration layers, and data pipelines.
• Experience with REST APIs and microservices, CRM and business system integrations, knowledge systems and data stores, and identity and access management.