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ServiceNow is seeking a Staff AI Engineer to design, build, and scale AI-powered solutions on the ServiceNow platform and cloud. This role combines applied AI engineering with deep expertise in enterprise generative AI platforms, focusing on driving adoption of native AI capabilities including AI Agent Studio, Agentic AI, and AI Control Tower.
Key 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 by establishing governance policies and monitoring practices across the organization
- Integrate and configure LLM-based capabilities in Cloud and 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
This is a high-impact role that bridges technical excellence with organizational leadership, requiring someone who can both execute complex AI engineering work and guide teams toward best practices in enterprise AI governance.
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)
Preferred Qualifications:
- 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
