Sr. Delivery Acceleration AI Architect
Job
ServiceNow, Inc.
Atlanta, GA (In Person)
Full-Time
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Job Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
ROLE DESCRIPTION
- As a Sr.
APAC+JPN.
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.WHAT YOU GET TO DO IN THIS ROLE
- Design & Develop AI-Powered Implementation Agents
- + Architect and build AI agent workflows that autonomously generate ServiceNow configurations, implementation plans, user stories, and test scripts from customer requirements + Develop, test, and iterate sophisticated prompt chains and orchestration patterns that produce consistent, production-quality outputs across ServiceNow product workflows (ITSM, CSM, HRSD, SPM, etc.
- Lead Prompt Engineering & AI Quality Optimization
- + Serve as a subject matter expert in prompt engineering techniques for large language models, including chain-of-thought reasoning, few-shot learning, structured output generation, and context window optimization + Design and execute systematic prompt evaluation frameworks that measure output accuracy, consistency, completeness, and adherence to ServiceNow implementation standards + Continuously optimize prompt performance through A/B testing, output analysis, and iterative refinement—treating prompts as production code with version control and quality gates, incorporating user feedback and quality-audit signals surfaced by the platform administrator and the champions network + Develop guardrails and validation logic that ensure AI-generated configurations meet enterprise quality standards before being deployed to the Expert Services community + Stay current on evolving platform capabilities and techniques, rapidly incorporating new approaches that improve agent accuracy and efficiency •Integrate AI Solutions with Professional Services GTM & Delivery•+ Understand the full professional services lifecycle—from pre-sales scoping and estimation through delivery execution and go-live—and ensure AI agent capabilities map to real engagement workflows + Design AI solutions that support accurate estimation by providing data on automated vs.
- Build Platform Integrations & Delivery Automation
- + Integrate AI agent outputs with the ServiceNow platform, customer engagement portals, and internal delivery systems to create seamless end-to-end automation + Design APIs, data pipelines, and integration patterns that connect autonomous implementation tools with estimation systems, resource management platforms, and project tracking tools + Build automated testing and validation workflows that verify AI-generated configurations against ServiceNow best practices and customer requirements before deployment + Collaborate with the implementation platform team to embed AI capabilities into the customer and partner delivery experience + Ensure all integrations meet enterprise security, data governance, and compliance standards + Coordinate with the platform administrator on release management—staging validation, production rollout, and vendor escalation—so new AI capabilities reach users without disrupting platform stability •Drive Measurement & Continuous Improvement•+ Establish quality metrics for AI agent outputs: accuracy rates, rework percentages, time savings, and customer acceptance rates, feeding these signals into the adoption and ROI metrics the platform administrator reports to A&M leadership + Analyze agent performance data to identify improvement opportunities, failure patterns, and expansion use cases + Contribute to the delivery acceleration roadmap by identifying where AI can fill capability gaps or replace manual processes + Document engineering best practices, architectural patterns, and lessons learned to build organizational knowledge + Participate in sprint ceremonies, code reviews, and cross-team collaboration in a two-week sprint cadence with monthly releases •To be successful in this role you have:•+ 5+ years of experience in software engineering, AI/ML engineering, or technical consulting in enterprise software environments + 2+ years of hands-on experience with large language models, prompt engineering, and AI agent development—not just using AI tools, but building production systems on top of them + Demonstrated expertise in prompt engineering techniques: chain-of-thought reasoning, structured output generation, few-shot/zero-shot patterns, context window management, and systematic prompt evaluation + Strong understanding of professional services delivery operations: how engagements are scoped, sold, estimated, staffed, and delivered + Experience with API design, system integration, and building data pipelines that connect AI outputs to enterprise workflows + Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI agent development and automation + Understanding of ServiceNow platform architecture, data models, and configuration patterns + Excellent communication skills—ability to translate technical AI capabilities into business impact for non-technical stakeholders + Experience working in agile, sprint-based environments with measurable delivery outcomes •Not required but nice to have:•+ Experience building autonomous implementation or code generation systems that produce production-ready outputs + Background in management consulting or professional services delivery operations + Familiarity with ServiceNow implementation methodology and delivery best practices + Experience with AI agent orchestration frameworks and multi-step workflow automation + Knowledge of AI ethics, output validation, responsible AI practices, and enterprise governance requirements + ServiceNow platform certifications (CSA, CIS, or similar) + Experience with enterprise estimation tools, resource management platforms, or delivery automation systems •Work Personas•We approach our distributed world of work with flexibility and trust.
- Equal Opportunity Employer
- ServiceNow is an equal opportunity employer.
- Accommodations
- We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
- Export Control Regulations
- For positions requiring access to controlled technology subject to export control regulations, including the U.
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