AI Solutions Delivery Engineer

About the Role

NICE is seeking an AI Solution Delivery Engineer to join its IT AI Center of Excellence and accelerate the delivery of AI agents across the company. This role focuses on building internal AI agents powered by Anthropic Claude Cowork and other LLMs. You will be responsible for designing skills, agent logic, tool usage, and end-to-end solution flows using low-code platforms, leveraging Claude’s strengths in complex reasoning, long-context document processing, and agentic workflows to deliver scalable, business-ready AI solutions.

This position is primarily low-code/no-code but requires a deep practical understanding of LLM behavior, prompt & Skills design, agent workflows, and orchestration.

Impact You'll Make

You will partner with business stakeholders across NICE to identify automation opportunities, design Claude-Cowork solutions end-to-end, and shape enterprise-grade AI solutions. You will combine skills, agent design, and low-code automation to deliver measurable business impact. This is a high-impact role ideal for someone who thrives on translating business problems into AI solutions, designing reliable agents, and helping a growing IT CoE shape the standards that enable the wider organization.

Responsibilities

Discovery & Solution Design

• Partner with business stakeholders across NICE to identify automation opportunities and translate them into clear agent specifications.
• Design Claude-Cowork solutions end-to-end: system prompts, prompt chains, connectors use, knowledge grounding, escalation paths, and human-in-the-loop checkpoints.
• Configure RAG and knowledge grounding from NICE document and data sources; define refusal, fallback, and hallucinating behaviors.

Build & Ship

• Build agents using Claude Projects, Claude Code in low-code mode, MCP connectors, and Anthropic’s Agent SDK.
• Integrate agents with NICE enterprise systems (Microsoft 365, ServiceNow, Salesforce, internal data sources) using MCPs and out-of-the-box connectors.
• Author and maintain a Claude prompt library, Skills, agent design patterns, and reusable templates for the IT CoE.

Requirements

• 4+ years of experience in technical or analytical roles (e.g., system analyst, technical project manager, product manager, or process engineer).
• Hands-on experience with at least one major LLM platform (Claude strongly preferred; ChatGPT/Copilot Studio).
• Strong prompt engineering, including system prompt design.
• Familiarity with multi-agent and autonomous agent architectures: designing systems where specialized agents collaborate, delegate sub-tasks, and operate with minimal human intervention.
• Comfort with low-code automation platforms: Power Automate, n8n.
• REST, JSON, and webhook literacy: able to read API docs and configure tools.
• Strong stakeholder management & communication.
• Fluency in English.

Bonus Qualifications

• Bachelor’s degree in industrial engineering, Information Systems, or a related field.
• Hands-on with Claude features: Projects, Artifacts, Computer Use, Agent SDK, sub-agents, skills; familiarity with Model Context Protocol (MCP).
• Experience with RAG patterns; familiarity with Microsoft Copilot Studio.

Working Model

At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Office days focus on face-to-face meetings, teamwork, and collaborative thinking. This role is located in our NJ office at Waterfront Corporate Center III, 221 River St, 10th & 11th floors, Hoboken, New Jersey 07030.