Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to Business System Lead. You will: Lead the architectural design, development, and implementation of enterprise ServiceNow solutions like HRSD, ITSM, WSD and Custom Apps, seamlessly embedding AI-powered features across the platform ecosystem. Architect and implement complex integrations between ServiceNow, external APIs, and large language models (LLMs) using Integration Hub and Custom Skill Kits. Design, build, and deploy custom generative AI workflows and contextual prompts using Now Assist Skill kit Establish code governance, standard development patterns, and rigorous security guardrails for AI agent orchestration and autonomous workflows. Partner with data and business teams to evaluate and clean foundational data sources (like CMDB) to ensure high-accuracy AI retrieval performance. Develop a framework for prompt engineering, Automated Test Frameworks (ATF), and platform upgrade strategies. You have: 6+ years of software development experience, with at least 4 years specialized in ServiceNow architecture and advanced script configurations. Deep hands-on experience implementing ServiceNow generative AI solutions, including Now Assist or custom intelligent chatbots. Mastery of client/server scripting (JavaScript, GlideScript) and the ability to customize Service Portal widgets to accommodate AI user experiences. Strong understanding of Retrieval-Augmented Generation (RAG) frameworks, data structures, and how search algorithms function within enterprise knowledge bases. Proven track record managing multi-environment Update Set promotions, release cycles, and technical debt reduction strategies. Exceptional technical communication skills, with the ability to confidently present complex AI solutions and ROI metrics to business executives. We prefer: Platform certications, such as ServiceNow Certified Technical Architect, ServiceNow Certified Application Developer (CAD) or ServiceNow implementation specializations. Experience working with AI Control Tower Hands-on exposure to advanced product lines such as IT Operations Management (ITOM) or Security Operations (SecOps). Background in data analytics tools (BigQuery) or advanced Performance Analytics for modeling operational automation trends. Active engagement with modern DevOps pipelines and source control integrations within the ServiceNow platform environment. A Bachelor's or Master's degree in Computer Science, Machine Learning, or a closely related quantitative STEM field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $168,000 — $207,000 USD

Requirements

Must-haves

In this hybrid role, you will report to Business System Lead.
Lead the architectural design, development, and implementation of enterprise ServiceNow solutions like HRSD, ITSM, WSD and Custom Apps, seamlessly embedding AI-powered features across the platform ecosystem.
Architect and implement complex integrations between ServiceNow, external APIs, and large language models (LLMs) using Integration Hub and Custom Skill Kits.
Design, build, and deploy custom generative AI workflows and contextual prompts using Now Assist Skill kit
Establish code governance, standard development patterns, and rigorous security guardrails for AI agent orchestration and autonomous workflows.
Partner with data and business teams to evaluate and clean foundational data sources (like CMDB) to ensure high-accuracy AI retrieval performance.
Develop a framework for prompt engineering, Automated Test Frameworks (ATF), and platform upgrade strategies.
6+ years of software development experience, with at least 4 years specialized in ServiceNow architecture and advanced script configurations.
Deep hands-on experience implementing ServiceNow generative AI solutions, including Now Assist or custom intelligent chatbots.
Mastery of client/server scripting (JavaScript, GlideScript) and the ability to customize Service Portal widgets to accommodate AI user experiences.
Strong understanding of Retrieval-Augmented Generation (RAG) frameworks, data structures, and how search algorithms function within enterprise knowledge bases.
Proven track record managing multi-environment Update Set promotions, release cycles, and technical debt reduction strategies.
Exceptional technical communication skills, with the ability to confidently present complex AI solutions and ROI metrics to business executives.
Platform certications, such as ServiceNow Certified Technical Architect, ServiceNow Certified Application Developer (CAD) or ServiceNow implementation specializations.
Experience working with AI Control Tower
Hands-on exposure to advanced product lines such as IT Operations Management (ITOM) or Security Operations (SecOps).
Background in data analytics tools (BigQuery) or advanced Performance Analytics for modeling operational automation trends.
Active engagement with modern DevOps pipelines and source control integrations within the ServiceNow platform environment.
A Bachelor's or Master's degree in Computer Science, Machine Learning, or a closely related quantitative STEM field.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aijavascriptmachine learning

Platform: greenhouse
Effort: quick