As an AI Engineer, you turn bold ideas into tangible prototypes. You're the hands-on builder behind our AI story, transforming vision into working demos and proof-of-concepts that show real business impact. Partnering with AI Solution Architects, you'll combine ServiceNow's Now Assist, Workflow Data Fabric, and platform automation to deliver intelligent, scalable solutions at speed.
Key Responsibilities
- Build & Prototype - Develop proofs-of-concept, demos, and accelerators showcasing custom applications (low-code and pro-code), AI Agents, LLM integration, and data workflows on ServiceNow.
- Technical Delivery - Implement apps, integrations, flows, data integrations, and prompt engineering. Ensure POC environments are securely configured, data is pre-loaded, and integrations are ready for demonstration.
- Experimentation - Test and refine model performance, prompt design, and agentic automation.
- Documentation - Maintain technical documentation, reusable scripts, and setup guides for repeatable delivery.
- Collaboration - Work cross-functionally with SCs, Architects, Customer Excellence and Product Specialists to ensure successful handoff and scalability.
- Scalable Assets - Take best use case assets to be repeated and scaled in our internal skills library to speed up time to delivery and knowledge transfer.
Qualifications
Required Skills & Experience
- 3-5 years of experience in technical consulting, software development, data engineering, professional services or workflow automation.
- Familiarity with ServiceNow development (Flow Designer, App Engine Studio, IntegrationHub, etc.) or similar development platforms.
- Subject knowledge of AI concepts (prompt engineering, REST APIs, Knowledge Graph, vector search etc).
- Expertise in ServiceNow's Agents and Now Assist Skills
- Strong curiosity, hands-on technical builder mindset, and ability to work in rapid prototyping environments.
- Clear communication and documentation skills.
- ServiceNow certifications such as Certified System Administrator, Certified Application Developer, Certified Implementation Specialist, are desired. Related certifications from Databricks, Azure AI, AWS ML are also a plus.
Success Measures
- Number and quality of working prototypes or accelerators built.
- Effectiveness in participation of POCs/POVs
- Speed of delivery from concept to demo.
- Contribution to reusable assets and playbooks.
- Growth in AI and platform proficiency.
