Sr. ServiceNow AI Agent Engineer

Senior AI Agent Engineer – ServiceNow **Location:** Remote **Employment Type:** Full\-Time **Job ID:** 00069776681 Senior AI Agent Engineer – ServiceNow About the role As a Senior AI Agent Engineer – ServiceNow, you will make an impact by building and improving an agentic ServiceNow implementation system that helps translate user stories into configuration changes and deploy them to customer sandbox environments. You will be a valued member of the ServiceNow technology team and work collaboratively with architects, technical consultants, product teams, and engineering partners to make the agent faster, smarter, more reliable, and production\-ready. **In this role, you will:** Enhance agent behavior, prompt architecture, verification gates, test generation, and evaluation frameworks. Optimize token usage, latency, and conversational quality to improve the technical consultant experience. Extend ServiceNow platform integrations across Flow Designer, Agent Teams, Data Policies, REST Message builders, rollback automation, and post\-deployment validation. Build and enhance Python and TypeScript Model Context Protocol servers as agent capabilities expand. Improve observability, reliability, alerting, recovery workflows, and offline testing using tools such as Langfuse and OpenTelemetry. Design knowledge and memory architecture using Cosmos DB, vector stores, graph databases, and retrieval\-augmented generation patterns. Partner with engineering and ServiceNow teams to production\-harden multi\-agent systems and support scalable customer implementations. Work model We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work\-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered 10\+ years of software engineering experience, including 3\+ years building or operating large language model agent systems in production. Hands\-on experience with agent orchestration frameworks such as Claude Agent SDK, LangGraph, AutoGen, LlamaIndex Agents, or similar tools. Experience building or extending Model Context Protocol (MCP) servers, including tool schema registration and transport debugging. Strong understanding of multi\-agent architecture, tool routing, shared session state, context\-window management, and turn\-budget optimization. Experience with A2A Protocol, JSON\-RPC 2\.0 message contracts, and asynchronous callback patterns. Strong Python experience, including FastAPI, asyncio, async generators, background tasks, and st