> Markdown version of [/jobs/ext/4634183-servicenow-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4634183-servicenow-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ServiceNow AI Platform Engineer - **Company:** Robotics Technologies LLC - **Location:** Dallas, TX, United States - **Salary:** $162,240 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Python (Programming Language), Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, AI Platforms, Virtual Agents, Restful APIs, Servicenow - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c926a7d73d616d4 ## About the Role * Experience with ServiceNow AI, Now Assist, and Conversational AI. * Knowledge of LLMs, Prompt Engineering, RAG, and AI Agents. * Experience with REST APIs, Integration Hub, and enterprise integrations. * Understanding of workflow automation and ServiceNow platform architecture. * Python and AI framework knowledge preferred. ## Description Design, build, and operationalize AI-powered capabilities within ServiceNow using Now Assist, GenAI, AI Agents, workflow automation, and enterprise integrations. Enable intelligent automation and business productivity through AI-driven solutions. The requirements align with ServiceNow GenAI and enterprise AI integration capabilities referenced in ServiceNow Solution Architect (ITSM, Catalog & GenAI).docx., * Configure and implement ServiceNow AI and Now Assist capabilities. * Design GenAI-driven use cases for case summarization, knowledge generation, virtual agents, and task automation. * Build AI-assisted workflows and automation solutions. * Integrate external LLMs and AI services with ServiceNow. * Develop prompt engineering and RAG-based solutions. * Configure AI governance, monitoring, and security controls. * Support AI adoption and business value realization. * Collaborate with architects and process owners to identify AI opportunities.