Sr. Delivery Acceleration AI Architect

About the Role

As a Sr. Delivery Acceleration AI Engineer, you will design, develop, and optimize AI-powered autonomous implementation solutions that transform how ServiceNow Expert Services deliver customer implementations. Working within the Delivery Acceleration team, your primary mission is to build and refine AI agents that automate ServiceNow configuration, generate implementation artifacts, and accelerate time-to-deploy. You will turn what previously required weeks of manual effort into AI-driven delivery that produces production-ready outputs in hours.

This role sits at the intersection of deep technical expertise in prompt engineering and AI agent architecture, and a nuanced understanding of enterprise professional services delivery. You will work directly with autonomous implementation platforms built on large language models to create, test, and refine the AI-driven workflows that generate ServiceNow configurations, user stories, test scripts, and deployment packages for customer engagements.

Success in this position requires a unique balance of technical depth in AI/LLM systems and practical business acumen. You must understand the professional services go-to-market motion—how services are scoped, sold, estimated, and delivered—because the AI solutions you build must align with how consultants and sales teams position and execute customer engagements. Your work directly impacts delivery speed, quality, margin, and the customer experience.

You will operate in a fast-paced sprint cadence where AI capabilities evolve rapidly, requiring continuous experimentation, rigorous quality validation, and close collaboration with solution architects, product managers, and delivery consultants across AMS, EMEA, and APAC+JPN. A critical part of your day involves partnering closely with the platform administrator who owns operations, adoption, and governance for the AI-powered deal and delivery document generator, ensuring the AI agents and prompt assets you build are deployed, scaled, and governed effectively across the global delivery community.