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AI Solutions Delivery

NICE
CompanyNICE
CategoryData & Analytics
LocationUSA - Hoboken
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted27 May 2026
Last verified3 Aug 2026
SourceEmployer ATS (greenhouse)
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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?   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.   How will you make an impact?    You will partner with business stakeholders across  Ni CE  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.  Discovery & Solution Design    Partner with business stakeholders across  N i CE  to identify automation opportunities and translate them into clear agent specifications    Desig n 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  N i CE  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  N i CE  enterprise systems (Microsoft 365, ServiceNow, Salesforce, internal data sources)  using  MCP s and out of the box connectors.   Author and maintain a Claude prompt library,  Skills,  agent design patterns, and reusable templates for the  IT  CoE    Have you got what it takes?   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:  &
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