AI Solutions Delivery Engineer

NICE Actimize
India - PunePosted 12 May 2026

Job 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 Solutions Delivery 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 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. 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 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: 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 Why Join Us? At NiCE, we don’t just connect systems—we connect people, platforms, and possibilities. In this role, you’ll be at the heart of driving product unification, governance, and go-to-market alignment across a mission-critical platform. You’ll join a team that breaks down silos and enables seamless customer experiences across our product ecosystem. If you are a strategic thinker, a collaborative leader, and passionate about delivering cross-platform value, this is your opportunity to shape the future of customer experience with NiCE. What’s in i ... (truncated, view full listing at source)
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