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Staff AI Engineer

Vollzeit Arbeit vor Ort

Veröffentlichungsdatum: 19.09.2026

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

About the Role

The Staff AI Engineer designs, builds, and scales AI-powered solutions on the ServiceNow platform & Cloud, driving adoption of native AI capabilities (AI Agent Studio, Agentic AI, AI Control Tower) across the organization. This role combines applied AI engineering with deep expertise in enterprise generative AI platforms.

Responsibilities

Architect and implement AI agents and workflows using ServiceNow's AI Agent Studio, Skill Kit, and Workflow Data Fabric; Lead AI Control Tower implementation, adoption, and enablement — establishing governance policies and monitoring practices across the organization; Integrate and configure LLM-based capabilities in Cloud & ServiceNow Platform; Partner with product, platform, and business teams to identify high-value use cases and translate them into scalable AI solutions; Mentor engineers, set technical direction, and establish best practices for AI system design, governance, and responsible AI use

Requirements

8+ years of software engineering experience, including 3+ years working with AI/LLM-powered platforms or products; Strong understanding of NLP and modern LLM architectures (transformers, embeddings, vector search, agentic frameworks); Hands-on experience with ServiceNow's AI ecosystem — AI Agent Studio, Skill Kit, and AI Control Tower; Familiarity with MCP (Model Context Protocol) and A2A (Agent2Agent) for governed multi-agent integration and interoperability; Proficiency in scripting/integration (JavaScript, Python) and experience with cloud infrastructure (AWS/Azure/GCP)

Nice to have

Direct experience rolling out AI Control Tower governance frameworks; Familiarity with OpenTelemetry for AI system observability and monitoring; ServiceNow certification(s) in AI or platform development
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