AI Solutions Delivery

Role Overview We are seeking an AISolutionDeliveryEngineer 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 ClaudeCowork 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. This is a low‑code / no‑code position but requires deep practical understanding of LLM behavior, prompt & skills design, agent workflows, and orchestration. Key Responsibilities 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 behaviours. 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. Qualifications 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. Comfort with low‑code automation platforms: Power Automate, n8n. REST, JSON, and webhook literacy. Strong stakeholder management & communication. Fluency in English. Bonus Bachelor’s degree in industrial engineering, Information Systems, or a related field. Hands‑on experience 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. Benefits & Location Hybrid model: 2 days in office at Hoboken, NJ (Waterfront Corporate Center III, 221 River St, 10th & 11th floors) and 3 days remote each week. The role is located in our NJ office at Waterfront Corporate Center III, 221 River St, 10th & 11th floors, Hoboken, New Jersey 07030. Equal Opportunity Statement NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. #J-18808-Ljbffr NICE