AI Solution Delivery Engineer

About the Role

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

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

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.

• 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 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, Service Now, 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

• 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.

• 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
  .