Staff AI Engineer

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

To be successful in this role you have:

• 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