AI Solutions Delivery

<div class="content-intro"><p>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.</p></div><p><strong><span data-contrast="none"><span data-ccp-parastyle="header">So, what’s the role all about?</span></span></strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[4680,9360],&quot;469777927&quot;:[0,0],&quot;469777928&quot;:[3,4]}">&nbsp;</span></p> <p><span data-contrast="auto">We are seeking an</span><strong><span data-contrast="auto">&nbsp;AI&nbsp;Solution&nbsp;Delivery&nbsp;Engineer&nbsp;</span></strong><span data-contrast="auto">to join NICE IT AI Center of Excellence and accelerate delivery of AI agents across the company.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><span data-contrast="auto">The role centers on building&nbsp;internal&nbsp;AI agents powered by Anthropic&nbsp;</span><strong><span data-contrast="auto">Claude&nbsp;Cowork</span></strong><span data-contrast="auto">&nbsp;and other LLMs, with responsibility for designing&nbsp;skills, agent logic, tool usage, and end</span>‑<span data-contrast="auto">to</span>‑<span data-contrast="auto">end solution flows using low</span>‑<span data-contrast="auto">code platforms. You will leverage Claude’s strengths in complex reasoning, long</span>‑<span data-contrast="auto">context document processing, and agentic workflows to deliver scalable, business</span>‑<span data-contrast="auto">ready AI solutions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:300}">&nbsp;</span></p> <p><strong><span data-contrast="auto">The position is low</span></strong>‑<strong><span data-contrast="auto">code / no</span></strong>‑<strong><span data-contrast="auto">code</span></strong><span data-contrast="auto">, but requires deep practical understanding of LLM behavior, prompt &amp; Ski