Sr. Delivery Acceleration AI Architect
Not Disclosed•Full-TimeOn-site
location_onGeorgia State University, 33, Gilmer Street Southeast, Five Points, Old Fourth Ward, Atlanta, Fulton County, Georgia, 30303, United States
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, you’ll focus on building and refining AI agents that automate ServiceNow configuration, generate implementation artifacts, and accelerate time-to-deploy—turning 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 technical depth in AI/LLM systems and practical business acumen. 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.
Critically, 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 partner 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.
Work location
Work model: On-site
Georgia State University, 33, Gilmer Street Southeast, Five Points, Old Fourth Ward, Atlanta, Fulton County, Georgia, 30303, United States
Atlanta, Georgia
Key Responsibilities
- check_circleDesign and build AI agent workflows to autonomously generate ServiceNow configurations and implementation plans
- check_circleDevelop and optimize prompt chains for consistent, production-quality outputs across ServiceNow product workflows
- check_circleCreate multi-step agentic processes for scope validation, dependency mapping, and quality assurance
- check_circleBuild and maintain prompt libraries and reusable patterns that encode delivery best practices
- check_circleDesign and execute systematic prompt evaluation frameworks to measure output accuracy and consistency
- check_circleDevelop guardrails and validation logic to ensure AI-generated configurations meet enterprise standards
- check_circleIntegrate AI agent outputs with ServiceNow platforms, customer portals, and internal delivery systems
- check_circleDesign APIs and data pipelines to connect autonomous tools with estimation and resource management platforms
- check_circleEstablish quality metrics for AI agent outputs including accuracy rates and time savings
- check_circleAnalyze agent performance data to identify improvement opportunities and expansion use cases
- check_circleCollaborate with solution architects to ensure agent outputs align with platform strategy and enterprise readiness
- check_circlePartner with delivery consultants to validate AI-generated outputs in real customer contexts
Requirements
- verifiedDeep expertise in prompt engineering
- verifiedAI agent architecture
- verifiedUnderstanding of enterprise professional services delivery
- verifiedKnowledge of ServiceNow product workflows (ITSM, CSM, HRSD, SPM)
- verifiedProficiency in LLM techniques (chain-of-thought, few-shot learning, structured output)
- verifiedExperience with API design and data pipelines
- verifiedKnowledge of enterprise security, data governance, and compliance standards